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146 results for Artificial Intelligence Ai Engineer jobs
- Knoxville, TN
- remote
- Permanent / Full Time
- 0 - 0 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>
- 2026-10-30T00:00:00Z
- Cincinnati, OH
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- 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.
- 2026-11-11T00:00:00Z
- Knoxville, TN
- remote
- Permanent / Full Time
- 0 - 0 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>
- 2026-10-30T00:00:00Z
- Lawrenceville, GA
- onsite
- Permanent / Full Time
- 120000 - 150000 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.
- 2026-10-21T00:00:00Z
- Conshohocken, PA
- onsite
- Permanent / Full Time
- 170000 - 180000 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.
- 2026-11-03T00:00:00Z
- Brookfield, WI
- onsite
- Permanent / Full Time
- 150000 - 175000 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.
- 2026-11-12T00:00:00Z
- Irvine, CA
- onsite
- Permanent / Full Time
- 150000 - 160000 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.
- 2026-10-22T00:00:00Z
- Albuquerque, NM
- onsite
- Permanent / Full Time
- 0 - 0 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>
- 2026-11-02T00:00:00Z
- Saddle Brook, NJ
- onsite
- Permanent / Full Time
- 130000 - 160000 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>
- 2026-10-23T00:00:00Z
- San Francisco, CA
- onsite
- Temporary / Contract
- 95 - 110 USD / Hourly
- We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
- 2026-11-10T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 175000 - 250000 USD / Yearly
- We are looking for a Staff Software Engineer, AI to help build the core platform that powers enterprise-grade intelligent agents in Minneapolis, Minnesota. In this role, you will tackle complex technical challenges across distributed systems, applied artificial intelligence, security, and platform engineering while creating reliable capabilities for demanding business use cases. You will work closely with product, engineering, machine learning, and security teams to guide architectural decisions and deliver scalable agent-driven solutions.<br><br>Responsibilities:<br>• Drive the technical direction of the agent platform, shaping how agents plan tasks, make decisions, manage execution flow, and produce structured outcomes in production environments.<br>• Develop multi-layered memory capabilities that support short-term context, historical interactions, knowledge retrieval, and persistent workflow state while enforcing retention and access policies.<br>• Build secure execution frameworks for agent operations using isolated containerized environments with strong controls for resources, network access, credentials, and tenant separation.<br>• Create dependable orchestration patterns that enable asynchronous processing, delegated work, checkpointing, restartability, retry logic, and recovery from operational failures.<br>• Implement extensible integrations with internal and external tools, ensuring strong authentication, authorization boundaries, and protections against unsafe or manipulated actions.<br>• Establish evaluation frameworks and observability practices to assess quality, reliability, latency, correctness, and cost, then use findings to improve agent performance over time.<br>• Partner with cross-functional stakeholders to translate high-impact business workflows into scalable AI agent capabilities that support complex enterprise needs.
- 2026-11-02T00:00:00Z
- Nashville, TN
- onsite
- Temporary / Contract
- 80 - 95 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>
- 2026-11-03T00:00:00Z
- Little Rock, AR
- onsite
- Permanent / Full Time
- 130000 - 150000 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>
- 2026-11-03T00:00:00Z
- Memphis, TN
- onsite
- Permanent / Full Time
- 120000 - 130000 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>
- 2026-11-03T00:00:00Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <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>
- 2026-11-05T00:00:00Z
- La Jolla, CA
- onsite
- Permanent / Full Time
- 150000 - 200000 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.
- 2026-10-18T00:00:00Z
- Saint Petersburg, FL
- onsite
- Permanent / Full Time
- 175000 - 215000 USD / Yearly
- <p>Are you a technical leader and prior Programmer that is savvy in technical AI Engineering abilities and naturally showcase Leadership skills amongst a technical group? If so, and if you have been part of an AI Departmental Start up that required hands on coding and code review at a micro-level, as well as a tactical macro-level vision, THEN APPLY NOW. This role will require tight collaboration with the C Suite and VP Level Technical Executives and will require a residence in the Tampa Bay, FL Area for hybrid in-office/remote collaboration. </p><p><br></p><p>We are looking for an experienced AI/ML leader to guide the design, deployment, and evolution of enterprise-scale machine learning capabilities for a healthcare-focused organization in Saint Petersburg, Florida. This role blends strategic leadership with practical engineering oversight, making it ideal for someone who can shape long-term vision while staying close to technical execution when needed. The successful candidate will help build reliable data and machine learning solutions that improve operational performance, enable advanced analytics, and support innovation across the business.</p><p><br></p><p>Responsibilities:</p><p>• Lead the AI/ML engineering function, setting technical direction for model development, deployment standards, and platform maturity across the organization.</p><p>• Partner with data science, engineering, and business stakeholders to turn operational and analytical needs into scalable machine learning solutions.</p><p>• Oversee the design and maintenance of end-to-end machine learning pipelines, including data ingestion, transformation, training, validation, and production monitoring.</p><p>• Provide hands-on guidance for complex technical initiatives, stepping into architecture reviews, implementation planning, and troubleshooting when necessary.</p><p>• Drive the use of modern big data and distributed processing technologies such as Spark, Hadoop, Kafka, and Databricks to support high-volume data workflows.</p><p>• Establish engineering best practices for production-grade AI systems, with emphasis on reliability, performance, governance, and maintainability.</p><p>• Direct the development and optimization of ETL processes that prepare structured and unstructured data for advanced modeling and analytics use cases.</p><p>• Mentor and grow technical teams by fostering strong delivery habits, cross-functional collaboration, and continuous improvement in machine learning engineering.</p><p>• Evaluate emerging tools, frameworks, and platform capabilities to strengthen the organization’s applied AI roadmap and execution model.</p>
- 2026-10-30T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 180000 - 250000 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>
- 2026-11-03T00:00:00Z
- Grand Rapids, MI
- remote
- Permanent / Full Time
- 180000 - 240000 USD / Yearly
- <p>We are looking for a Data & AI Architect to lead the design of modern data platforms and intelligent systems.. This is a fully remote opportunity that blends enterprise data architecture with applied AI, focusing on scalable platforms, retrieval-driven solutions, and production-grade agentic workflows. The ideal candidate will shape technical standards, guide platform decisions, and contribute hands-on expertise to build secure, high-performing solutions that support advanced analytics and AI adoption.</p><p><br></p><p>Responsibilities:</p><p>• Establish enterprise data models, shared business semantics, and data interface standards that support secure, tenant-aware access across relational, document, key-value, object, graph, vector, and analytical data platforms.</p><p>• Design cloud-based data ecosystems, including warehouses and lakehouses, and select the right technologies based on throughput, latency, scale, and cost requirements.</p><p>• Create architecture for batch and streaming pipelines, transformation layers, and data-serving systems with strong attention to lineage, recoverability, freshness, data quality, and operational accountability.</p><p>• Lead the design of embedding pipelines, vector lifecycle management, semantic retrieval, hybrid search, reranking strategies, and evaluation methods for high-quality search experiences.</p><p>• Architect knowledge-driven and graph-aware solutions that improve entity resolution, recommendation quality, matching accuracy, and personalization outcomes.</p><p>• Define production-ready approaches for retrieval-augmented AI and single- or multi-agent systems, including context design, citation grounding, orchestration patterns, state handling, approval workflows, and resilient failure recovery.</p><p>• Establish measurement and observability practices for AI systems by tracking quality, safety, reliability, cost, latency, and task performance through traceable debugging and regression testing.</p><p>• Build, review, and optimize critical data pipelines, AI prototypes, retrieval services, and evaluation frameworks to support real-world production use cases.</p><p>• Implement repeatable engineering practices such as automated testing, CI/CD, documentation, monitoring, and recovery procedures that enable reliable long-term operation.</p><p>• Set architectural direction for governance, privacy, authorization, retention, auditability, and AI safety controls while advising on platform strategy, vendor evaluation, and technical decision-making.</p>
- 2026-10-29T00:00:00Z
- Jacksonville, FL
- onsite
- Temporary / Contract
- 0 - 0 USD / Yearly
- <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>
- 2026-11-11T00:00:00Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 200000 - 300000 USD / Yearly
- <p><strong>Python Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Python Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
- 2026-11-09T00:00:00Z
- Cranberry, PA
- onsite
- Permanent / Full Time
- 0 - 0 USD / Yearly
- <p>We are looking for an Analytics Engineer to join a growing team in The Pittsburgh Metro Area</p><p>Responsibilities:</p><p>• Build and support robust data pipelines and transformation workflows in a cloud-based ecosystem to prepare information for analytics and reporting.</p><p>• Combine data from internal platforms, external applications, and operational systems into unified datasets that enable consistent business insights.</p><p>• Create and maintain dimensional structures, including fact and dimension tables, to strengthen enterprise reporting and analytical performance.</p><p>• Write, refine, and troubleshoot advanced queries to improve data quality, processing efficiency, and overall reliability.</p><p>• Develop and enhance dashboards, reports, and other business intelligence tools used for operational, financial, sales, and leadership decision-making.</p><p>• Establish semantic models, standardized metrics, and reusable reporting components that promote consistency across analytics deliverables.</p><p>• Configure KPI logic, trend reporting, forecasting measures, and other advanced calculations within reporting platforms.</p><p>• Apply data access rules and role-based permissions to protect sensitive information across analytics and reporting environments.</p><p>• Work closely with business partners to define reporting needs, translate requirements into technical solutions, and communicate findings clearly to varied audiences.</p><p>• Implement automated validation checks, investigate reporting issues, and document data rules, models, and technical processes for long-term maintainability.</p>
- 2026-11-09T00:00:00Z
- Moreno Valley, CA
- onsite
- Permanent / Full Time
- 130000 - 150000 USD / Yearly
- <p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
- 2026-10-18T00:00:00Z
- Malvern, PA
- onsite
- Temporary to Hire
- 76 - 88 USD / Hourly
- We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
- 2026-10-16T00:00:00Z
- Tacoma, WA
- remote
- Temporary / Contract
- 60 - 65 USD / Hourly
- <p>Robert Half is seeking an experienced <strong>Power BI Developer / Reporting Analyst</strong> to support a growing reporting and analytics function for an established organization in the manufacturing, distribution, and supply chain industry. The company is looking for a seasoned Power BI professional to elevate its analytics environment, streamline reporting processes, and help drive the future of business intelligence through hands-on work in reporting, data modeling, and automation.</p><p><br></p><p><strong>Location:</strong> 100% remote</p><p><strong>Duration:</strong> 6 months</p><p><strong>Schedule:</strong> Monday-Friday; Flexible PDT hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design and maintain interactive Power BI dashboards and reports that help business teams monitor performance and make informed decisions.</li><li>Develop data models, calculations, and visualizations using DAX and other BI best practices to deliver accurate and meaningful insights.</li><li>Build and support data pipelines using Azure Data Factory to collect, transform, and organize information from multiple sources.</li><li>Partner with stakeholders across operational and business functions to gather reporting needs and translate them into practical analytics solutions.</li><li>Analyze data related to distribution, logistics, or supply chain activities to identify trends, issues, and opportunities for improvement.</li><li>Ensure reporting assets are reliable, easy to use, and aligned with established data quality and governance expectations.</li><li>Document reporting logic, data definitions, and development processes to support long-term usability and knowledge sharing.</li></ul>
- 2026-11-09T00:00:00Z