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238 results for Ai Engineer in Hybrid
- Brookfield, WI
- onsite
- Permanent / Full Time
- 150000.00 - 175000.00 USD / Yearly
- We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
- 2026-11-12T14:28:43Z
- Lawrenceville, GA
- onsite
- Permanent / Full Time
- 120000.00 - 150000.00 USD / Yearly
- We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
- 2026-10-21T12:53:47Z
- Little Rock, AR
- remote
- Permanent / Full Time
- 120000.00 - 130000.00 USD / Yearly
- <p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li><br></li></ul><p><br></p>
- 2026-11-03T14:53:39Z
- Memphis, TN
- remote
- Permanent / Full Time
- 120000.00 - 130000.00 USD / Yearly
- <p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>
- 2026-11-03T14:33:38Z
- Nashville, TN
- remote
- Temporary / Contract
- 80.00 - 95.00 USD / Hourly
- <p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
- 2026-11-03T15:38:40Z
- Albuquerque, NM
- onsite
- Permanent / Full Time
- - USD / Yearly
- <p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
- 2026-10-16T14:48:47Z
- Conshohocken, PA
- onsite
- Permanent / Full Time
- 170000.00 - 180000.00 USD / Yearly
- We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact.<br><br>Responsibilities:<br>• Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization.<br>• Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts.<br>• Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration.<br>• Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results.<br>• Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily.<br>• Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions.<br>• Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities.<br>• Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines.<br>• Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions.<br>• Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
- 2026-11-03T14:03:41Z
- Cincinnati, OH
- onsite
- Temporary / Contract
- - USD / Hourly
- We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.<br><br>Responsibilities:<br>• Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.<br>• Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.<br>• Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.<br>• Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.<br>• Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.<br>• Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.<br>• Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.<br>• Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.<br>• Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.<br>• Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.
- 2026-11-04T13:48:46Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- - USD / Hourly
- <p>We are seeking an experienced <strong>AI Engineer</strong> to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong <strong>.NET full-stack development experience</strong> with expertise in <strong>Microsoft Azure</strong> and modern <strong>AI technologies</strong>, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.</p><p>You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.</p><p>Responsibilities</p><ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing <strong>C#</strong>, <strong>.NET Core</strong>, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as <strong>React</strong>, <strong>Angular</strong>, or <strong>Blazor</strong>.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul><p><br></p>
- 2026-11-05T12:43:45Z
- La Jolla, CA
- onsite
- Permanent / Full Time
- 150000.00 - 200000.00 USD / Yearly
- We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
- 2026-10-18T02:48:41Z
- Irvine, CA
- onsite
- Permanent / Full Time
- 150000.00 - 160000.00 USD / Yearly
- We are looking for an Artificial Intelligence (AI) Engineer to create intelligent applications and production-ready AI services that deliver measurable business value. This role is based in Irvine, California, and blends backend engineering, frontend development, and operational ownership to bring AI capabilities into real-world products. The ideal candidate is comfortable building agent-based workflows, shaping reliable prompt strategies, and partnering with stakeholders to turn complex needs into practical technical solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making.<br>• Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions.<br>• Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost.<br>• Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way.<br>• Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability.<br>• Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns.<br>• Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation.<br>• Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions.<br>• Produce and maintain clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
- 2026-10-22T20:43:42Z
- Knoxville, TN
- remote
- Permanent / Full Time
- - USD / Yearly
- <p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>
- 2026-10-20T19:34:08Z
- Knoxville, TN
- remote
- Permanent / Full Time
- - USD / Yearly
- <p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join our team. This position focuses on building intelligent applications and scalable software systems that support advanced AI-driven products in the real estate and property industry. The ideal candidate brings deep engineering expertise across modern backend development, API design, front-end integration, and agent-based AI architecture. You will play a key role in shaping production-ready AI solutions that are reliable, secure, and aligned with business goals.</p><p><br></p><p>Responsibilities:</p><p>• Lead full lifecycle development of AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Design and deliver agent-based AI solutions that support reasoning, multi-step execution, tool usage, memory handling, and workflow orchestration.</p><p>• Build, test, and maintain scalable backend applications and services using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.</p><p>• Create and support RESTful and GraphQL interfaces that connect web applications, internal platforms, databases, and external tools.</p><p>• Develop React-based user interfaces and ensure smooth interaction between front-end components and backend services.</p><p>• Architect microservices and distributed application patterns that improve scalability, resilience, and maintainability.</p><p>• Improve system efficiency by tuning application performance, refining database usage, and managing cloud resources effectively.</p><p>• Apply strong security practices across authentication, authorization, deployment, and production operations while supporting CI/CD pipelines and containerized environments.</p><p>• Establish monitoring, tracing, evaluation, and debugging practices for AI systems in production, and resolve issues across cloud-based environments.</p><p>• Partner with product, design, DevOps, data, and engineering teams while providing technical guidance on AI platform strategy and engineering standards.</p>
- 2026-10-30T20:04:23Z
- Atlanta, GA
- remote
- Temporary / Contract
- - USD / Hourly
- <p><strong>Location:</strong> Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)</p><p><strong>Duration:</strong> Ongoing Contract</p><p><strong>Employment Type:</strong> Full-Time Contract</p><p><br></p><p>About the Role</p><p>We are seeking an innovative, system-minded <strong>AI GTM Engineer</strong> to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.</p><p>If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.</p><p>Key Responsibilities</p><ul><li><strong>AI & Agentic Workflow Architecture:</strong> Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li><strong>Signal & Data Orchestration:</strong> Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li><strong>Tech Stack Integration:</strong> Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li><strong>Experimentation & Playbook Design:</strong> Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li><strong>Team Enablement & Technical Governance:</strong> Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
- 2026-11-02T14:54:06Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 180000.00 - 250000.00 USD / Yearly
- <p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
- 2026-11-03T12:24:01Z
- Radnor, PA
- onsite
- Permanent / Full Time
- 140000.00 - 160000.00 USD / Yearly
- We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
- 2026-11-03T19:04:01Z
- Saddle Brook, NJ
- onsite
- Permanent / Full Time
- 130000.00 - 160000.00 USD / Yearly
- <p><strong>Title:</strong> AI Specialist</p><p><strong>Reports To:</strong> Director, Information Technology – North America</p><p><strong>Experience:</strong> 1–4 years</p><p><strong>Employment Type:</strong> Full-time</p><p><br></p><p><strong>Position Summary</strong></p><p><br></p><p>The AI Specialist leads the organization’s practical adoption of AI solutions. <em>Note: This is a business process automation and enablement role rather than a data science or AI engineering position.</em> The primary focus is identifying where AI assistants, bots, and agents can eliminate manual workloads, deploying those solutions using low-code platforms, and establishing the training, governance, and strategic roadmap necessary to ensure safe and effective company-wide adoption.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong></strong></p><p><em>Automation with Bots & Agents</em></p><ul><li>Partner across departments to identify repetitive, rules-based, or document-heavy tasks suitable for AI or automation.</li><li>Build and maintain agents and bots using Copilot Studio, Power Automate, and similar low-code platforms.</li><li>Document every use case including business problem, process flow (before/after), data sources, functional owner, and measurable ROI.</li><li>Manage and prioritize the AI use-case backlog and report progress to IT leadership.</li></ul><p><em>Training & Change Management</em></p><ul><li>Develop and deliver tailored AI training for employees across skill levels (from basic prompting techniques to building simple low-code agents).</li><li>Create user resources, including quick-reference guides, prompt libraries, and recorded training sessions.</li><li>Establish and facilitate a network of departmental "AI Champions" to drive grassroots adoption.</li><li>Track utilization of licensed AI tools and advise leadership on licensing optimization.</li></ul><p><em>Strategy & Governance</em></p><ul><li>Draft and maintain an enterprise AI strategy and roadmap aligned with key business objectives.</li><li>Partner with leadership to author the organization's AI acceptable use policy, ensuring alignment with existing IT security, data classification, and vendor assessment standards.</li><li>Evaluate prospective AI vendors and tools for data privacy, security, cost efficiency, and technical fit.</li><li>Collaborate with the M365 Administrator on data readiness for Copilot (permissions, sensitivity labels, and access controls across SharePoint and Teams).</li></ul><p><br></p>
- 2026-10-23T18:43:44Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 180000.00 - 240000.00 USD / Yearly
- <p><strong>Senior Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading firm based in Los Angeles, California is seeking a Senior Software Engineer to join its technology organization. The firm manages a significant portfolio of institutional assets across credit, private investments, and other alternative strategies. Technology and AI are central to its ongoing innovation strategy, with continued investment in intelligent applications, automation, and data-driven solutions.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Software Engineer will be a hands-on full-stack developer responsible for building and supporting internal applications, AI-enabled solutions, enterprise integrations, and the Salesforce platform. This role will work closely with investment, operations, compliance, investor relations, accounting, and data teams to turn complex business processes into scalable technology solutions. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop applications that automate workflows across investment management, compliance, operations, accounting, and investor relations.</li><li>Build full-stack solutions using C#, .NET, SQL, Python, JavaScript/TypeScript, APIs, and modern development frameworks.</li><li>Develop and support AI-enabled applications, agent workflows, document processing, and intelligent automation solutions.</li><li>Configure and enhance Salesforce, including objects, fields, flows, validation rules, security, integrations, and light custom development.</li><li>Build integrations between Salesforce, internal applications, data platforms, and third-party systems using APIs, ETL, messaging, and automation.</li><li>Develop data and document processing workflows that extract, validate, transform, and load information into enterprise systems.</li><li>Partner directly with investment and business teams to translate domain expertise into repeatable, automated workflows.</li><li>Support reporting and analytics initiatives while maintaining data quality and consistency across connected systems.</li><li>Troubleshoot production applications and integrations, perform root-cause analysis, and implement long-term solutions.</li><li>Apply AI-assisted engineering practices to accelerate development, testing, documentation, and process automation.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Hybrid, three days onsite per week</li><li>Quarterly travel may be required</li><li>Opportunity to join an organization with an established investment in AI and help build the next generation of internal AI capabilities</li><li>Direct collaboration with senior technology leadership and investment professionals</li></ul>
- 2026-10-30T18:28:47Z
- Exton, PA
- onsite
- Permanent / Full Time
- 160000.00 - 180000.00 USD / Yearly
- We are looking for a Sr. Software Engineer to help shape and advance AI-driven software modernization efforts in Exton, Pennsylvania. This role will guide engineering teams on applied AI practices, improve code conversion quality across varied product environments, and contribute to standards that support scalable adoption throughout the organization. The position is well suited for someone who enjoys complex technical analysis, modern automation, and working across a broad mix of legacy and contemporary technologies with a global team.<br><br>Responsibilities:<br>• Assess complex code conversion outcomes, identify areas where automated results need refinement, and make targeted adjustments when necessary to preserve functionality and accuracy.<br>• Improve AI-based modernization workflows by defining effective coding patterns, highlighting risky translation scenarios, and strengthening output quality over time.<br>• Investigate difficult translation issues by comparing behavior across languages, compilers, runtime environments, and platforms to resolve defects or precision gaps.<br>• Build internal utilities, scripts, and automation that increase efficiency, consistency, and visibility across code modernization initiatives.<br>• Design comprehensive validation strategies and resilient test coverage to confirm that transformed code performs correctly and meets expected standards.<br>• Evaluate emerging AI tools and methods on an ongoing basis, recommending enhancements that keep modernization practices effective and current.<br>• Determine practical boundaries of different technologies and approaches so teams can make informed implementation decisions.<br>• Support broader engineering adoption by mentoring developers, sharing technical guidance, and creating learning materials around AI-assisted development practices.
- 2026-11-03T14:38:45Z
- San Diego, CA
- remote
- Temporary / Contract
- 45.00 - 57.00 USD / Hourly
- <p>Senior Technical Recruiter (Contract – Remote)</p><p><strong>Robert Half's client</strong>, an innovative technology company, is seeking an experienced <strong>Technical Recruiter</strong> to support its growing talent acquisition needs on an initial 4-month contract, with the possibility of extension. This individual will partner directly with technical leadership to drive full-cycle recruiting efforts, with a primary focus on identifying and hiring top-tier Product Managers and AI Engineers.</p><p>The ideal candidate will bring 7+ years of technical recruiting experience within SaaS or technology-driven organizations, with a proven ability to manage multiple requisitions simultaneously and deliver results in a fast-paced environment. This person will oversee approximately 5–10 open requisitions at a time and serve as a strategic recruiting partner to technical leaders, providing guidance throughout the hiring process.</p><p>This is a hands-on recruiting opportunity for someone who is an excellent communicator, highly skilled in sourcing, and comfortable independently managing the full recruitment lifecycle from initial candidate identification through offer and close.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Manage full-cycle technical recruiting efforts for approximately 5–10 open requisitions simultaneously.</li><li>Recruit for specialized technical positions, with an emphasis on Product Managers and AI Engineers.</li><li>Partner directly with technical leaders and hiring managers to understand hiring needs, technical requirements, and ideal candidate profiles.</li><li>Develop and execute targeted sourcing strategies to identify, attract, and engage qualified technical talent, including passive candidates.</li><li>Conduct initial candidate screenings to evaluate technical experience, qualifications, communication skills, and overall fit.</li><li>Manage the entire recruitment lifecycle, from sourcing and outreach through interview coordination, candidate evaluation, offer negotiation, and placement.</li><li>Build and maintain strong candidate pipelines to support current and anticipated hiring needs.</li><li>Provide consistent communication and updates to hiring managers regarding candidate pipelines, recruiting progress, and market insights.</li><li>Facilitate interview processes and maintain a positive candidate experience throughout the hiring lifecycle.</li><li>Proactively identify recruiting challenges and recommend solutions to keep searches moving forward.</li></ul>
- 2026-11-14T00:04:09Z
- Atlanta, GA
- remote
- Temporary / Contract
- - USD / Hourly
- <p>Job Title: Conversation Designer (Contract)</p><p><strong>Locations (Hybrid):</strong> Atlanta, GA | Nashville, TN <em>(Must reside near and be able to work 1 day/week in-office in either Atlanta or Nashville)</em></p><p><strong>Duration:</strong> 4–6 Week Project (Potential for extension based on project scope and needs)</p><p><strong>Weekly Hours:</strong> 30 Hours / Week to start</p><p><strong>Employment Type:</strong> Contract / Freelance</p><p><br></p><p>About the Role</p><p>We are seeking a talented, detail-oriented <strong>Conversation Designer</strong> to join our team for a 4 to 6-week project sprint with potential for extension. In this role, you will be responsible for crafting natural, engaging, and efficient conversational flows for AI-driven assistants, chatbots, and interactive voice/text experiences.</p><p><br></p><p>Working closely with product managers, UX designers, and AI engineers, you will bridge human language with technical systems—turning complex user intents into clear, helpful, and brand-aligned dialogue flows.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>Conversational Flow & Dialogue Design:</strong> Craft end-to-end conversation flows, turn-by-turn dialogues, user journeys, and fallback scenarios for AI chatbots, virtual assistants, or interactive voice systems.</li><li><strong>Intent Mapping & System Logic:</strong> Collaborate with engineering teams to define user intents, entities, sample utterances, prompt logic, and repair strategies to handle ambiguous or out-of-scope inputs gracefully.</li><li><strong>Persona & Voice Guidelines:</strong> Develop and maintain consistent voice, tone, and personality guidelines across all conversational touchpoints to reflect brand identity.</li><li><strong>Prototyping & Testing:</strong> Build sample scripts, interactive prototypes, and wireframes to simulate conversation flows and conduct user testing/review sessions.</li><li><strong>Optimization & Analysis:</strong> Review conversation logs, analytics, and drop-off points during project sprints to rapidly iterate and improve response accuracy and resolution rates.</li></ul><p><br></p>
- 2026-11-02T19:04:17Z
- Des Moines, IA
- onsite
- Permanent / Full Time
- 80000.00 - 100000.00 USD / Yearly
- Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity<br>Location: Hybrid - Des Moines, IA<br>Salary: $80,000 - 100,000 base annual salary plus exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>AI / Machine Learning Engineer<br>Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges?<br>We're partnering with an established and growing technology consulting organization seeking an AI / Machine Learning Engineer to help expand its AI, predictive analytics, and data science capabilities.<br>In this highly visible role, you'll work directly with business leaders and analysts to develop machine learning models, improve anomaly detection, build forecasting solutions, and influence the future direction of the company's AI initiatives.<br>What You'll Do<br> • Develop and improve machine learning and predictive analytics models<br> • Analyze complex data using Python and SQL<br> • Support anomaly detection, forecasting, and advanced analytics initiatives<br> • Evaluate model performance and recommend improvements<br> • Collaborate with analysts, stakeholders, and leadership to solve business problems<br> • Help shape AI/ML tools, methodologies, and best practices<br>What We're Looking For<br> • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience<br> • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn<br> • Experience with statistical modeling, predictive analytics, and machine learning<br> • Strong SQL and data analysis skills<br> • Ability to explain technical concepts to both technical and non-technical audiences<br> • Collaborative, self-directed, and entrepreneurial mindset<br>Why Join?<br> • Make a visible impact in a growing AI/ML practice<br> • Work directly with decision-makers and leadership<br> • Collaborative, team-oriented culture with exceptional employee tenure<br> • Hybrid work environment<br> • Opportunity to influence strategy, architecture, and future AI initiatives<br> • Competitive compensation and benefits<br><br>This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
- 2026-10-14T19:04:00Z
- Atlanta, GA
- remote
- Temporary / Contract
- - USD / Hourly
- <p><strong>Locations (Hybrid):</strong> Atlanta, GA | Nashville, TN <em>(Must reside near and be able to work hybrid out of one of these regional hub locations)</em></p><p><strong>Duration:</strong> 6-Month Contract (Potential to extend based on performance and project scope)</p><p><strong>Work Schedule:</strong> Full-Time (40 Hours / Week)</p><p><strong>Employment Type:</strong> Contract</p><p><br></p><p>About the Role</p><p>We are seeking an innovative, forward-thinking <strong>AI Experience Designer</strong> to join our design team for a 6-month contract engagement with potential for extension. In this role, you will define and design user-centered experiences powered by artificial intelligence, generative models, and intelligent automation.</p><p>Positioned at the intersection of UX design, product strategy, and conversational AI, you will craft intuitive interaction models, agentic workflows, and UI patterns that make complex AI interactions feel seamless, transparent, and delight-driven for our users.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Experience & Interaction Design:</strong> Map end-to-end user journeys for AI-powered features, establishing novel interaction patterns for conversational interfaces, copilot experiences, predictive workflows, and generative outputs.</li><li><strong>Prototyping & Workflow Design:</strong> Create low-to-high fidelity wireframes, user flows, interactive prototypes, and system logic diagrams in Figma to demonstrate dynamic AI behaviors and state changes.</li><li><strong>Human-AI Interface Guidelines:</strong> Help build and maintain design system guidelines specifically for AI components, including prompt interfaces, feedback loops, confidence indicators, and error-handling states.</li><li><strong>Cross-Functional Collaboration:</strong> Partner closely with AI/ML engineers, product managers, content strategists, and research teams to translate technical capabilities into clear, ethical, and accessible user interfaces.</li><li><strong>User Testing & Iteration:</strong> Design and run usability evaluations to test prompt clarity, AI output comprehension, user trust, and friction points, rapidly iterating based on qualitative and quantitative feedback.</li></ul><p><br></p>
- 2026-11-02T18:43:39Z
- Jacksonville, FL
- remote
- Temporary / Contract
- - USD / Hourly
- <p>Are you passionate about building scalable cloud platforms that power next-generation AI solutions? We're looking for an <strong>AI Platform Engineer</strong> to help design, automate, and support a modern Azure-based platform used to deploy and manage AI applications, agents, and services across the enterprise.</p><p>This role is ideal for a DevOps or Cloud Engineer with strong Azure experience, Infrastructure-as-Code expertise, and a development background in C#/.NET or Python.</p><p>What You'll Do</p><ul><li>Build and maintain Azure cloud infrastructure supporting AI and application workloads</li><li>Develop reusable Infrastructure as Code (IaC) solutions using Terraform</li><li>Design and manage CI/CD pipelines with Azure DevOps and GitHub Actions</li><li>Automate platform provisioning, deployments, onboarding, and operational tasks</li><li>Develop automation and integration services using C#/.NET or Python</li><li>Support Azure API Management (APIM), containerized workloads, and cloud-native services</li><li>Implement security controls using Entra ID, Managed Identities, RBAC, and Key Vault</li><li>Monitor platform health and performance using Azure Monitor, Application Insights, and Log Analytics</li><li>Partner with development teams to move solutions from proof of concept to production</li><li>Create documentation, standards, and best practices for platform adoption</li></ul><p><br></p>
- 2026-11-11T12:24:08Z
- Little Rock, AR
- remote
- Temporary / Contract
- 100000.00 - 120000.00 USD / Yearly
- <p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
- 2026-11-03T15:28:46Z