152 Results for Artificial Intelligence Ai Engineer Jobs in Usa

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Artificial Intelligence (AI) Engineer

Jacksonville, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
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. Responsibilities: • Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment. • Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring. • Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality. • Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization. • Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services. • Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack. • Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution. • Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry. • Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
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. Responsibilities:• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.
2026-10-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
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. Key Responsibilities: <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>
2026-10-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Irvine, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
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. Responsibilities: • Create and launch web-based products, AI-powered services, and multi-step agent workflows that support complex tool interactions and orchestration. • Develop and support integrations with Anthropic platforms and Claude capabilities, including streaming responses, prompt optimization, caching strategies, and tool-enabled model behavior. • Craft, refine, and assess prompts to improve consistency, safety, response quality, and cost performance across AI-driven features. • Build backend REST APIs in Python and deliver front-end functionality in React and TypeScript to support AI-enabled user experiences. • Manage deployment operations for AI systems by maintaining containerized services, delivery pipelines, cloud environments, and runtime monitoring. • Design and tune database interactions for relational systems to ensure efficient querying and dependable application performance. • Establish automated testing approaches for both standard software logic and probabilistic AI behavior, including evaluation workflows and regression coverage. • Partner with technical and business stakeholders to convert operational needs into effective AI-based solutions and product enhancements. • Produce clear technical documentation covering system architecture, prompt strategy, and the expected behavior and limitations of AI agents.
2026-10-22T00:00:00Z

Artificial Intelligence (AI) Engineer

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. Responsibilities: • Partner with business leaders to understand operational pain points and identify where AI can create measurable value. • Translate business needs into solution concepts, technical approaches, and implementable AI initiatives. • Design, develop, test, and deploy AI and machine learning applications that address real-world business problems. • Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities. • Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow. • Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities. • Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes. • Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
2026-10-21T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building production-ready AI solutions that combine agentic workflows, scalable backend engineering, and modern web application development. The ideal candidate will bring deep experience across AI system design, API development, cloud-based services, and cross-functional collaboration to deliver reliable, high-impact products. Responsibilities:• Lead full product development efforts from initial architecture through deployment and ongoing enhancement of AI-driven applications.• Design and implement advanced agentic AI systems that support reasoning, planning, memory, tool usage, and multi-step task execution.• Build, test, and maintain scalable backend services and APIs using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks such as Express or NestJS.• Create and support RESTful and GraphQL interfaces that connect AI capabilities with web applications, enterprise platforms, and external services.• Develop React-based user interface components and ensure smooth interaction between frontend experiences and backend systems.• Architect microservices and distributed application patterns that improve scalability, resiliency, and maintainability across production environments.• Establish evaluation, observability, and monitoring practices to measure AI system quality, reliability, latency, cost efficiency, and operational health.• Collaborate with product, design, DevOps, data science, and engineering teams to translate business goals into secure, scalable technical solutions.• Drive deployment automation, containerization, troubleshooting, and performance optimization across cloud-hosted applications and AI services.
2026-10-14T00:00:00Z

Artificial Intelligence (AI) Engineer

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. Responsibilities: • Build and implement AI, machine learning, and generative AI solutions that address business and operational needs. • Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows. • Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact. • Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases. • Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences. • Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale. • Establish model deployment and support practices, including monitoring, governance, and lifecycle management. • Apply security, compliance, and responsible AI standards throughout solution design, development, and release. • Research new AI tools and technologies and recommend options that align with organizational goals. • Produce clear technical documentation covering solution architecture, workflows, and implementation details.
2026-09-28T00:00:00Z

Artificial Intelligence (AI) Engineer

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. Responsibilities: • Create and launch web-based products, AI-enabled services, and multi-step agent workflows that support complex tool interactions and orchestrated decision-making. • Develop and support integrations with leading language model platforms, including capabilities such as streaming responses, prompt optimization, tool invocation, and cached interactions. • Craft, refine, and assess prompts to improve output quality while balancing consistency, safety considerations, and usage cost. • Build Python-based REST APIs and React/TypeScript user interfaces that expose AI functionality in a scalable and user-friendly way. • Manage deployment and operational processes for AI systems, including container builds, automated delivery pipelines, cloud hosting, and runtime observability. • Design and optimize database queries for relational data stores to ensure strong performance and dependable access patterns. • Establish testing approaches for both predictable application logic and variable AI behavior through evaluation harnesses, regression coverage, and automated validation. • Work closely with cross-functional partners to define use cases, align technical choices with business priorities, and deliver effective AI-backed solutions. • 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

Artificial Intelligence (AI) System Engineer

Albuquerque, NM
onsite
Permanent / Full Time
0 - 0 USD / Yearly
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. 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. Responsibilities:• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.Other duties as needed
2026-10-16T00:00:00Z

Artificial Intelligence (AI) Solutions Engineer/ Developer

Phoenix, AZ
onsite
Temporary / Contract
95 - 110 USD / Hourly
Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.Key Responsibilities<ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul>
2026-10-28T00:00:00Z

Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000 - 170000 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T00:00:00Z

Lead Artificial Intelligence (AI) Engineer

Avon, MN
onsite
Permanent / Full Time
130000 - 190000 USD / Yearly
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. Responsibilities: • Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement. • Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight. • Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance. • Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment. • Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness. • Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems. • Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools. • Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
2026-10-06T00:00:00Z

Artificial Intelligence (AI) Specialist

Saddle Brook, NJ
onsite
Permanent / Full Time
130000 - 160000 USD / Yearly
Title: AI SpecialistReports To: Director, Information Technology – North AmericaExperience: 1–4 yearsEmployment Type: Full-time Position Summary The AI Specialist leads the organization’s practical adoption of AI solutions. Note: This is a business process automation and enablement role rather than a data science or AI engineering position. 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. Key ResponsibilitiesAutomation with Bots & Agents<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>Training & Change Management<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>Strategy & Governance<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>
2026-10-23T00:00:00Z

AI / Machine Learning Engineer

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: AI / Machine Learning Engineer - Direct Hire Permanent Opportunity Location: Hybrid - Des Moines, IA Salary: $80,000 - 100,000 base annual salary plus exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** AI / Machine Learning Engineer Are you passionate about applying machine learning and advanced analytics to solve real-world business challenges? 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. 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. What You'll Do • Develop and improve machine learning and predictive analytics models • Analyze complex data using Python and SQL • Support anomaly detection, forecasting, and advanced analytics initiatives • Evaluate model performance and recommend improvements • Collaborate with analysts, stakeholders, and leadership to solve business problems • Help shape AI/ML tools, methodologies, and best practices What We're Looking For • 1-3+ years of AI, Machine Learning, Data Science, or Advanced Analytics experience • Strong Python skills with libraries such as Pandas, NumPy, and Scikit-Learn • Experience with statistical modeling, predictive analytics, and machine learning • Strong SQL and data analysis skills • Ability to explain technical concepts to both technical and non-technical audiences • Collaborative, self-directed, and entrepreneurial mindset Why Join? • Make a visible impact in a growing AI/ML practice • Work directly with decision-makers and leadership • Collaborative, team-oriented culture with exceptional employee tenure • Hybrid work environment • Opportunity to influence strategy, architecture, and future AI initiatives • Competitive compensation and benefits This is an excellent opportunity for someone who enjoys combining technical depth, business impact, and hands-on problem solving in a flexible, entrepreneurial environment. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-14T00:00:00Z

AI Software Engineer

Nashville, TN
onsite
Temporary / Contract
75 - 90 USD / Hourly
Robert Half is seeking an innovative AI Software Engineer 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. Key Responsibilities<ul><li>AI Application Development: Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li>LLM Integration: 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>Machine Learning Solutions: Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li>Software Engineering: Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li>Data Processing: Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li>Cloud Deployment: Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li>Model Optimization: Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li>Collaboration: Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li>Documentation: Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li>Research & Innovation: Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul>
2026-10-14T00:00:00Z

AI Software Engineer

Phoenix, AZ
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for a skilled AI Software Engineer to join our team in Phoenix, Arizona. In this long-term contract role. We want a full-stack software engineer who ships at AI speed without giving up engineering judgment. You'll use AI coding agents as your main tool, and you'll be the person who knows when the agent is wrong. Responsibilities:· Build department workspaces end to end. Ticket hubs, queues, tiles and filters for Client Services, Legal, HR and Compliance (e.g. a ClickUp-style filter builder, a performance-review system, a legal case tracker).· Work on regulated workflows. Credit-dispute (e-OSCAR ACDV) queues with locking, auto-submit and audit trails, where a bug means a compliance issue, not just a broken screen.· Replace CollectOne, one department at a time. Read legacy SQL Server data, mirror it into Postgres, and rebuild the daily screens staff rely on.· Write database migrations safely. Plan apply-before-merge order, row-level security, and one-transaction-per-page-load rules.· Wire integrations. Microsoft Graph mailboxes into tickets, Amazon Connect call screens, AWS Bedrock AI features (reply suggestions, PDF invoice analysis), S3 uploads, Stripe and QuickBooks.· Drive AI agents well. Write clear prompts and specs, break work into small stacked PRs, and review every line the agent writes.· Keep CI honest. Respect the guard checks (page index, lint ratchet, migration hygiene, secret scanning) and add new guards when a mistake could repeat.· Sit with users. Turn a messy request from a supervisor into a clear spec, then show them the working screen.
2026-10-28T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-09-28T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer 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.
2026-10-22T00:00:00Z

AI Engineer

Boca Raton, FL
remote
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to serve as a force multiplier for the client’s engineering organization. The role is part of an initiative to design, build, and scale AI-powered engineering workflows that dramatically increase developer productivity and accelerate software delivery. The client’s team is actively supporting a complex legacy-to-Python migration while maintaining multiple customer-facing applications. This role will be responsible for leveraging AI technologies to automate and optimize every phase of the Software Development Life Cycle (SDLC), including requirements analysis, code generation, testing, defect investigation, and release processes. Key Responsibilities:· Design and implement AI-powered workflows that automate software engineering processes across the SDLC.· Build and orchestrate multi-step AI agent frameworks for code analysis, generation, validation, testing, and feedback loops.· Develop reusable AI tooling, agent templates, and engineering playbooks adopted across multiple teams.· Create automated testing solutions, regression frameworks, and validation mechanisms using AI-assisted approaches.· Enhance CI/CD pipelines and DevOps processes through intelligent automation and release optimization.· Support large-scale legacy application modernization and business rule extraction initiatives.· Build Python-based automation tools for data processing, workflow orchestration, and engineering productivity.· Partner with developers, architects, and engineering leadership to identify and eliminate delivery bottlenecks.· Evaluate and implement emerging AI technologies that improve software development efficiency and quality.
2026-10-20T00:00:00Z

AI Engineer

Fort Washington, PA
onsite
Temporary / Contract
55 - 60 USD / Hourly
We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments. Responsibilities: • Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability. • Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools. • Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems. • Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests. • Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge. • Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution. • Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability. • Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
2026-10-27T00:00:00Z

AI Engineer

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. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased 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. Role SummaryThe Machine Learning 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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments. Key Responsibilities<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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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>Additional Details<ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
2026-09-24T00:00:00Z

Azure Cloud Engineer AI & Automation

Malvern, PA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment. Responsibilities: • Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations. • Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform. • Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support. • Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards. • Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably. • Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge. • Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow. • Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights. • Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads. • Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
2026-10-01T00:00:00Z

Data Scientist AI & ML Analyst

Des Moines, IA
onsite
Permanent / Full Time
80000 - 100000 USD / Yearly
Position: Data Scientist | AI & ML Analyst Location: Des Moines, IA -- Hybrid Salary: $80,000 - $100,000 base annual salary with exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Scientist | AI & Machine Learning Help Shape the Future of AI, Machine Learning & Predictive Analytics Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges? We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production. What You'll Do • Develop and enhance machine learning and predictive analytics models • Improve anomaly detection and forecasting capabilities • Analyze complex data using Python and SQL • Evaluate model performance and recommend improvements • Partner with analysts and stakeholders to solve business problems • Help shape AI/ML methodologies, tools, and best practices What We're Looking For • Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics • Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn • Strong SQL and data analysis capabilities • Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics • Ability to communicate insights to both technical and non-technical audiences • Self-directed, collaborative, and intellectually curious Why This Opportunity Stands Out • Help build and influence a growing AI/ML practice • Work directly with leadership and key decision-makers • Make an end-to-end impact on projects and outcomes • Join a successful, stable organization with exceptional employee tenure • Collaborative, family-oriented culture where people genuinely enjoy working together • Entrepreneurial environment that rewards initiative and fresh ideas • Hybrid work environment after onboarding • Competitive compensation up to $100,000 Who Thrives Here? The most successful individuals in this environment are hungry, humble, smart, and self-motivated. They enjoy wearing multiple hats, solving difficult problems, collaborating with others, and seeing the direct impact of their work. If you're looking for an opportunity where your ideas matter, your contributions are visible, and your work can help shape the future of AI and analytics, we'd love to connect. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-19T00:00:00Z

Software Engineer II AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-09-28T00:00:00Z

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