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.
We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms.<br><br>Responsibilities:<br>• Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement.<br>• Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight.<br>• Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance.<br>• Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment.<br>• Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness.<br>• Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems.<br>• Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools.<br>• Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
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.
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
<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>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
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.
<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>
<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>
We are looking for an Artificial Intelligence (AI) Engineer to join a team building intelligent applications and production-ready AI services in Irvine, California. This role combines software engineering, applied AI development, and operational ownership, with a focus on creating reliable user-facing tools and scalable backend systems. The ideal candidate brings hands-on experience with modern language model platforms, strong Python development skills, and the ability to translate business goals into practical AI solutions.<br><br>Responsibilities:<br>• Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration.<br>• Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior.<br>• Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features.<br>• Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences.<br>• Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring.<br>• Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance.<br>• Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage.<br>• Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements.<br>• Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
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. ***
<p>Robert Half is hiring for a Principal level Software Engineer to focus on agentic workflows and AI software products. In this role, you will lead full product development efforts while creating intelligent, scalable applications that combine agentic AI capabilities with modern web technologies. The position calls for a hands-on engineer who can build reliable backend systems, contribute to user-facing experiences, and partner across teams to deliver secure, high-performing solutions.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full software development lifecycle for AI-enabled products, from technical planning and architecture through deployment and ongoing improvement.</p><p>• Create and refine agentic AI workflows that support business objectives and integrate effectively with application services.</p><p>• Build, test, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.</p><p>• Develop and maintain RESTful or GraphQL interfaces that enable dependable communication between applications and services.</p><p>• Contribute to front-end development with React, ensuring smooth interaction between user interfaces and backend functionality.</p><p>• Architect and support microservices-based and distributed systems designed for reliability, flexibility, and growth.</p><p>• Improve overall system efficiency by tuning application performance, refining database access patterns, and managing cloud resource consumption.</p><p>• Apply strong security practices by implementing access control, authentication, and authorization measures across applications.</p><p>• Oversee containerized delivery processes and automated deployment workflows using Docker and CI/CD tools, while diagnosing and resolving production issues in cloud environments.</p><p>• Work closely with product, design, and DevOps partners to deliver maintainable, well-documented solutions that meet project goals.</p>
<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>
<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>
<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>
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.
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals.<br><br>Responsibilities:<br>• Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment.<br>• Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring.<br>• Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality.<br>• Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization.<br>• Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services.<br>• Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack.<br>• Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution.<br>• Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry.<br>• Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
<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>
<p>Robert Half is hiring! </p><p>We are looking for a Software Engineer to join our team in Greenville, South Carolina. In this role, you will build and enhance business applications, intelligent automation, and AI-enabled solutions that improve operational efficiency across the organization. You will work closely with technical teams and business partners to turn operational needs into secure, scalable software while supporting the full lifecycle of development and delivery.</p><p><br></p><p>Responsibilities:</p><p>• Build, test, release, and support enterprise software, automation workflows, and AI-driven tools that address business needs.</p><p>• Work with stakeholders across the organization to uncover improvement opportunities and convert functional goals into practical technical solutions.</p><p>• Create custom applications, system interfaces, APIs, reports, and workflow automations using modern development platforms and integration tools.</p><p>• Connect internal systems, databases, cloud environments, and external platforms to enable reliable data exchange and streamlined processes.</p><p>• Research and assess emerging AI, generative AI, and automation technologies to identify valuable use cases for the business.</p><p>• Help transform prototypes and pilot solutions into production-ready applications with appropriate security, monitoring, and support practices.</p><p>• Contribute across the software development lifecycle, including discovery, solution design, coding, testing, implementation, maintenance, and retirement planning.</p><p>• Produce and maintain technical documentation, user guidance, support procedures, and system design artifacts to promote long-term sustainability.</p><p>• Partner with developers, administrators, IT teams, and business users to resolve issues, provide technical direction, and deliver successful project outcomes.</p><p>• Apply established standards for cybersecurity, privacy, governance, source control, and change management in all development activities.</p>
<p>For our client, we are seeking an AI Consultant to help design, develop, and implement artificial intelligence solutions that improve operational efficiency, automate business processes, and support data-driven decision-making. This individual will work closely with technical teams and business leaders to identify AI opportunities and deliver scalable solutions using modern AI technologies.</p>
<p>We are seeking an experienced <strong>AI Engineer</strong> with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.</p>
<p>Robert Half is working with a rapidly growing AI technology company at the forefront of enterprise AI infrastructure, helping businesses build, train, and deploy advanced AI models tailored to their unique data, workflows, and products. Backed by leading investors and founded by innovators behind PyTorch, the organization is helping shape the future of artificial intelligence through cutting-edge technology and a collaborative, high-performance culture.</p><p><br></p><p>We are seeking a strategic, data-driven <strong>Talent Sourcer</strong> to join the growing People team. This individual will play a critical role in building talent pipelines, identifying exceptional passive candidates, and supporting hiring initiatives across technical and go-to-market functions. The ideal candidate is a proactive sourcing professional who thrives in a fast-paced startup environment and knows how to engage highly sought-after talent in a competitive market.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Talent Sourcing & Pipeline Development: Proactively identify, research, and engage high-quality passive candidates through LinkedIn, GitHub, technical communities, open-source networks, and other creative sourcing channels.</li><li>Recruiting Partnership: Collaborate with recruiters, hiring managers, and business leaders to understand hiring needs, define ideal candidate profiles, and develop targeted sourcing strategies.</li><li>Candidate Outreach & Engagement: Create personalized, compelling outreach campaigns that attract top talent and communicate the company's mission, technology, and career opportunities.</li><li>Initial Candidate Screening: Conduct preliminary conversations to assess candidate qualifications, relevant experience, technical capabilities, and alignment with team needs.</li><li>Market Research & Talent Mapping: Research competitor organizations, emerging talent pools, and industry trends to identify opportunities and strengthen recruiting strategies.</li><li>Diversity Sourcing: Build diverse candidate pipelines and implement sourcing strategies that support inclusive and equitable hiring practices.</li><li>ATS Management & Reporting: Maintain accurate candidate records, track sourcing activity, monitor pipeline metrics, and use data to measure and improve sourcing effectiveness.</li><li>Continuous Improvement: Experiment with new sourcing tools, techniques, and engagement strategies to improve candidate conversion and hiring outcomes</li></ul>
<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>
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.
<p>A global law firm in the Twin Cities seeks a <strong>detail-oriented Patent Agent</strong> with proven experience in patent prosecution. This position offers direct collaboration with inventors and attorneys on <strong>cutting-edge technologies</strong> to secure and protect valuable intellectual property. If you are passionate about innovation, this is an excellent opportunity.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with inventors and researchers to assess the patentability of innovative technologies.</p><p>• Draft, file, and prosecute patent applications with a focus on wireless technologies, artificial intelligence (AI), and processor and memory systems.</p><p>• Respond to United States Patent and Trademark Office (USPTO) actions effectively and in a timely manner.</p><p>• Maintain and manage patent portfolios for clients, ensuring alignment with their strategic objectives.</p><p>• Stay informed about advancements in 5G, Wi-Fi, and other wireless technologies, as well as AI and related fields.</p><p>• Provide expert guidance to clients regarding intellectual property strategies and best practices.</p><p>• Conduct in-depth research on prior art to support patent applications and strengthen intellectual property claims.</p><p>• Engage in client meetings to understand their needs and provide tailored solutions.</p><p>• Ensure compliance with legal and regulatory requirements throughout the patent prosecution process.</p>