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274 results for Artificial Intelligence Ai Engineer in Secondary

Artificial Intelligence (AI) Engineer
  • West Palm Beach, FL
  • onsite
  • Permanent / Full Time
  • 180000.00 - 220000.00 USD / Yearly
  • We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency.<br><br>Responsibilities:<br>• Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies.<br>• Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms.<br>• Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases.<br>• Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts.<br>• Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks.<br>• Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions.<br>• Design AI-driven automation that improves workflows and streamlines day-to-day business operations.<br>• Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph.<br>• Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems.<br>• Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
  • 2026-10-02T13:28:45Z
Lead Artificial Intelligence (AI) Engineer
  • Avon, MN
  • onsite
  • Permanent / Full Time
  • 130000.00 - 190000.00 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.<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.
  • 2026-10-06T14:43:44Z
Artificial Intelligence (AI) Engineer
  • Lawrenceville, GA
  • onsite
  • Permanent / Full Time
  • 120000.00 - 150000.00 USD / Yearly
  • We are looking for an Artificial Intelligence (AI) Engineer to help build and expand practical AI capabilities for the business. This role works closely with functional leaders to uncover meaningful use cases, convert operational challenges into scalable technical solutions, and deliver tools that improve decision-making and efficiency. It is a strong opportunity for a hands-on specialist who enjoys working in a developing environment and wants to influence how AI is applied across the organization.<br><br>Responsibilities:<br>• Partner with business leaders to understand operational pain points and identify where AI can create measurable value.<br>• Translate business needs into solution concepts, technical approaches, and implementable AI initiatives.<br>• Design, develop, test, and deploy AI and machine learning applications that address real-world business problems.<br>• Evaluate repetitive workflows and manual tasks across departments to recommend automation or intelligent assistance opportunities.<br>• Collaborate with teams such as finance, recruiting, and operations to create tools that improve productivity and information flow.<br>• Help establish an internal pipeline of AI initiatives by assessing impact, feasibility, and implementation priorities.<br>• Serve as a bridge between non-technical stakeholders and technical execution by clearly communicating options, risks, and outcomes.<br>• Contribute to the growth of the organization’s AI capability through hands-on development, experimentation, and continuous improvement.
  • 2026-09-09T12:34:00Z
Artificial Intelligence (AI) Engineer
  • Brookfield, WI
  • onsite
  • Permanent / Full Time
  • 150000.00 - 175000.00 USD / Yearly
  • We are looking for an experienced Artificial Intelligence (AI) Engineer to create practical, scalable AI solutions that help improve business performance and streamline operations in Brookfield, Wisconsin. In this role, you will partner with technical teams and business leaders to turn complex challenges into intelligent applications, machine learning systems, and generative AI capabilities. The ideal candidate brings a strong software engineering foundation along with hands-on experience delivering AI solutions in cloud environments.<br><br>Responsibilities:<br>• Build and implement AI, machine learning, and generative AI solutions that address business and operational needs.<br>• Develop intelligent applications such as virtual assistants, chatbot experiences, copilots, and automated workflows.<br>• Train, evaluate, and refine machine learning models to improve performance, reliability, and business impact.<br>• Create and support retrieval-augmented generation solutions and related applications for knowledge-driven use cases.<br>• Work closely with stakeholders to uncover opportunities where AI can enhance processes, decision-making, and user experiences.<br>• Connect AI capabilities with enterprise systems and cloud-based platforms to enable practical adoption at scale.<br>• Establish model deployment and support practices, including monitoring, governance, and lifecycle management.<br>• Apply security, compliance, and responsible AI standards throughout solution design, development, and release.<br>• Research new AI tools and technologies and recommend options that align with organizational goals.<br>• Produce clear technical documentation covering solution architecture, workflows, and implementation details.
  • 2026-09-28T20:38:43Z
Artificial Intelligence (AI) Engineer
  • Jupiter, FL
  • onsite
  • Permanent / Full Time
  • 70000.00 - 90000.00 USD / Yearly
  • 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.
  • 2026-09-22T20:08:45Z
Artificial Intelligence (AI) Engineer
  • Monroe, NY
  • onsite
  • Permanent / Full Time
  • 150000.00 - 225000.00 USD / Yearly
  • <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>
  • 2026-10-08T14:03:45Z
Artificial Intelligence (AI) Solutions Engineer/ Developer
  • Phoenix, AZ
  • onsite
  • Temporary / Contract
  • 95.00 - 110.00 USD / Hourly
  • <p>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.</p><p>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.</p><p>Key Responsibilities</p><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><p><br></p>
  • 2026-09-24T21:38:47Z
Artificial Intelligence (AI) Engineer
  • Knoxville, TN
  • remote
  • Permanent / Full Time
  • - USD / Yearly
  • <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>
  • 2026-09-18T12:48:43Z
Artificial Intelligence (AI) Engineer
  • Lincolnton, NC
  • remote
  • Temporary / Contract
  • 71.25 - 82.50 USD / Hourly
  • AI/LLM Engineer / Solutions Architect - no 3rd parties, no C2C - no must be eligible to work in the U.S. - Remote with 2 weeks onsite to onboard We are looking for an Artificial Intelligence (AI) Engineer to lead practical AI development efforts for a manufacturing organization in Lincolnton, North Carolina. This Long-term Contract position will focus on creating production-ready automation tools and intelligent workflows that improve decision-making, streamline operations, and uncover business insights from enterprise data. The role is best suited for someone who can translate complex operational needs into scalable AI solutions while partnering closely with cross-functional teams such as Finance and Sales. <br> Responsibilities: • Design and deploy AI-powered applications that automate recurring operational activities and improve workflow efficiency across the business. • Build intelligent solutions that analyze enterprise and operational data to identify trends, risks, and opportunities that support growth and performance. • Create tools that provide visibility into customer purchasing behavior, inventory conditions, material planning, and seasonal business patterns. • Develop AI-driven capabilities that help teams investigate operational issues, uncover contributing factors, and support faster resolution. • Integrate AI models and services with existing business platforms, data sources, and external systems through APIs and structured pipelines. • Partner with stakeholders in Finance, Sales, and other functional areas to define use cases, prioritize deliverables, and align solutions with business goals. • Establish practical standards for AI implementation, including solution scope, governance, and responsible deployment practices. • Produce market intelligence solutions that monitor external signals such as public-sector funding activity, bid opportunities, and competitor developments. • Participate in early onsite collaboration to understand the manufacturing environment, team workflows, and operational priorities before broader delivery begins.
  • 2026-09-21T15:38:42Z
Artificial Intelligence (AI) Engineer
  • Jacksonville, FL
  • onsite
  • Permanent / Full Time
  • - 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.<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.
  • 2026-10-08T20:48:45Z
AI Engineer
  • Memphis, TN
  • onsite
  • Permanent / Full Time
  • 125000.00 - 150000.00 USD / Yearly
  • <ul><li>Design, develop, test, and deploy AI-powered applications and services.</li><li>Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.</li><li>Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.</li><li>Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.</li><li>Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.</li><li>Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.</li><li>Develop production-quality services using Python and/or .NET/C#.</li><li>Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.</li><li>Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.</li><li>Evaluate LLM performance, accuracy, relevance, latency, and cost.</li><li>Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.</li><li>Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.</li><li>Establish appropriate practices for security, responsible AI, data privacy, and governance.</li><li>Troubleshoot and optimize AI applications in production environments.</li><li>Stay current with emerging AI technologies, models, frameworks, and development practices.</li></ul><p><br></p>
  • 2026-10-06T19:23:47Z
Agent Platform Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000.00 - 300000.00 USD / Yearly
  • <p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
  • 2026-09-24T22:18:44Z
AI Engineer
  • Atlanta, GA
  • remote
  • Permanent / Full Time
  • 85000.00 - 105000.00 USD / Yearly
  • <p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Build and scale AI-powered applications using GPT and LLM technologies</li><li>Design and implement prompt engineering and context strategies</li><li>Develop autonomous AI agents and intelligent workflows</li><li>Build backend services and integrate enterprise data sources</li><li>Work with tools like LangChain / LlamaIndex and vector databases</li><li>Evaluate and improve AI system performance, accuracy, and reliability</li><li>Optimize systems for cost, latency, and scalability</li><li>Deploy, monitor, and troubleshoot production applications</li><li>Collaborate with product and UX teams to deliver user-focused solutions</li><li>Contribute to shared AI tools and platforms used across engineering</li></ul>
  • 2026-10-02T13:43:47Z
AI Engineer
  • Lawrenceville, GA
  • remote
  • Permanent / Full Time
  • 150000.00 - 200000.00 USD / Yearly
  • <p>Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
  • 2026-10-01T20:25:30Z
AI Engineer
  • Lawrenceville, GA
  • remote
  • Permanent / Full Time
  • 120000.00 - 150000.00 USD / Yearly
  • <p>Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
  • 2026-10-01T20:25:30Z
AI Engineer
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • - USD / Hourly
  • <p>We are seeking an AI Engineer to design, develop, and deploy AI-powered applications that solve real business challenges. This role will work closely with software engineering, data, and business teams to build scalable solutions leveraging Generative AI, Large Language Models (LLMs), machine learning, and cloud platforms.</p><p>Responsibilities</p><ul><li>Design and develop AI-powered applications and services.</li><li>Build and optimize prompts, RAG pipelines, and AI workflows.</li><li>Integrate OpenAI, Azure OpenAI, and other LLM platforms into enterprise applications.</li><li>Develop APIs and microservices that support AI solutions.</li><li>Collaborate with data engineers and software developers to deploy AI models into production.</li><li>Monitor model performance and improve accuracy, reliability, and scalability.</li><li>Implement AI security, governance, and responsible AI practices.</li><li>Document technical designs and best practices.</li></ul><p><br></p>
  • 2026-10-08T18:13:43Z
Patent Agent
  • Minneapolis, MN
  • onsite
  • Permanent / Full Time
  • 110000.00 - 140000.00 USD / Yearly
  • <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>
  • 2026-09-25T13:08:44Z
AI Engineer
  • Atlanta, GA
  • remote
  • Permanent / Full Time
  • 85000.00 - 105000.00 USD / Yearly
  • <p>Robert Half is working with a client in the metro-Atlanta area seeking an AI Engineer.</p><ul><li>Develop LLM-powered and agent-based applications using Claude APIs</li><li>Design and implement MCP-based agents (Model Context Protocol) within AWS environments</li><li>Build prompt workflows, orchestration logic, and autonomous agent behaviors</li><li>Integrate enterprise systems and data sources via APIs</li><li>Optimize AI solutions for token efficiency, cost, and performance</li><li>Develop backend services and utilities to support AI applications</li><li>Collaborate with stakeholders, product teams, and engineers to deliver scalable solutions</li></ul>
  • 2026-10-02T13:43:47Z
Software Automation Engineer
  • Philadelphia, PA
  • remote
  • Temporary / Contract
  • 55.00 - 59.00 USD / Hourly
  • <p><strong>Software Automation Engineer IV</strong></p><p><strong>Location: </strong>Remote, East Coast hours</p><p><br></p><p>We are seeking a senior-level <strong>Automation Engineer IV</strong> to help accelerate the development, deployment, and adoption of AI-enabled solutions across the enterprise. This role will sit at the intersection of <strong>Python engineering, automation, machine learning, software quality, and AI enablement</strong>, helping move AI and ML use cases from development and experimentation into reliable, scalable production environments.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><ul><li>Help operationalize <strong>AI and machine learning solutions</strong>, moving models and AI-enabled applications from development into scalable production environments.</li><li>Develop reusable frameworks, utilities, and automation that make it easier for application teams to <strong>integrate and deploy AI capabilities</strong>.</li><li>Build Python-based services, scripts, APIs, and automation workflows supporting AI and ML use cases.</li><li>Partner with technical teams to identify opportunities where <strong>AI can improve existing applications, processes, testing, and operational workflows</strong>.</li><li>Establish repeatable development, testing, deployment, and monitoring practices for AI-enabled applications.</li><li>Code, test, document, implement, and support new or modified machine learning systems supporting a broad range of clinical and enterprise use cases.</li><li>Evaluate emerging technologies and recommend opportunities to reuse existing capabilities versus building new solutions.</li><li>Partner with various SOC Leaders, technical owners, and stakeholders to understand operational challenges and automation opportunities.</li></ul><p>Design, build, and deploy AI-powered solutions such as:</p><ul><li>AI triage bots</li><li>Watchlist automation</li><li>Incident response automation</li><li>Security operations workflows</li><li>AI agents and intelligent automation tools</li><li>Build solutions end-to-end, from requirements gathering through deployment and support.</li><li>Participate in architectural design and technical decision-making.</li><li>Integrate AI and automation tools into existing enterprise systems and workflows.</li><li>Improve SOC efficiency by reducing false positives, manual effort, and administrative tasks.</li><li>Develop software solutions utilizing AWS services and APIs.</li><li>Collaborate across security, engineering, and operations teams.</li></ul>
  • 2026-10-09T07:04:06Z
Senior Machine Learning Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 140000.00 - 175000.00 USD / Yearly
  • <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>&#128295; Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on NLP, LLMs, and Generative AI</li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul>
  • 2026-10-05T23:13:44Z
AI Engineer
  • Fort Washington, PA
  • remote
  • Temporary / Contract
  • 55.00 - 60.00 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.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
  • 2026-10-01T20:25:30Z
Software Engineer, AI
  • Los Angeles, CA
  • remote
  • Permanent / Full Time
  • 160000.00 - 170000.00 USD / Yearly
  • <p><strong>Software Engineer, AI</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>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.</p><p><br></p><p><strong>Role Summary</strong> </p><p>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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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>
  • 2026-10-09T18:04:08Z
Customer Success Associate
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 120000.00 - 160000.00 USD / Yearly
  • <p><strong>Customer Success Associate</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A software company based in Los Angeles, California is building enterprise solutions that help organizations integrate AI-powered agents into everyday business workflows. The company develops technology that connects AI with existing business systems to automate work, surface insights, and improve operational efficiency. This is an opportunity to join an emerging technology organization and work closely with customers adopting next-generation AI capabilities.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Customer Success Associate will help customers successfully onboard, adopt, and realize value from an enterprise AI platform. This role will serve as a primary day-to-day contact for a portfolio of customers while partnering closely with Product and Engineering teams to address technical questions, capture feedback, and improve the customer experience. The ideal candidate combines strong relationship management skills with technical curiosity and a practical understanding of how AI and automation can improve business workflows.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Manage day-to-day relationships with a portfolio of customer accounts, providing responsive and consultative support.</li><li>Guide customers through onboarding, platform adoption, business system integrations, and identification of high-value AI workflows.</li><li>Help customers understand the capabilities and limitations of AI-powered workflows and establish realistic expectations for successful adoption.</li><li>Monitor customer health, usage, and engagement to proactively identify adoption risks, unresolved issues, and expansion opportunities.</li><li>Translate customer questions, product feedback, and technical issues into clear requirements for Product and Engineering teams.</li><li>Document and track customer requests, feature ideas, technical issues, and commitments using CRM and project management systems.</li><li>Analyze feedback related to AI-generated outputs and workflows to help technical teams identify opportunities for product improvement.</li><li>Prepare and deliver customer check-ins, status updates, and business reviews using account, product usage, and support data.</li><li>Leverage AI tools and automation to improve customer success processes while maintaining accountability for the accuracy and quality of customer-facing work.</li><li>Help develop scalable customer success playbooks, templates, processes, and automated workflows as the organization grows.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Work closely with Customer Success, Product, and Engineering teams</li><li>High-growth environment requiring autonomy, adaptability, discretion, and strong ownership</li><li>Opportunity to work hands-on with AI-powered workflows and help shape how customers adopt emerging technology</li></ul>
  • 2026-09-24T22:33:44Z
Machine Learning Engineer
  • Los Angeles, CA
  • onsite
  • Permanent / Full Time
  • 200000.00 - 300000.00 USD / Yearly
  • <p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>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><p><strong>Additional Details</strong></p><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>
  • 2026-09-24T22:18:44Z
Cyber Security Engineer
  • Little Rock, AR
  • onsite
  • Permanent / Full Time
  • 110000.00 - 125000.00 USD / Yearly
  • We are looking for a Cyber Security Engineer to help strengthen and advance our security program in Little Rock, Arkansas. This role focuses on protecting enterprise systems, cloud environments, and AI-enabled technologies through effective controls, monitoring, and risk management. The ideal candidate brings hands-on experience in threat detection, incident response, and security engineering, along with the ability to partner across technical teams to improve resilience and compliance.<br><br>Responsibilities:<br>• Create and refine security policies, governance practices, and technical standards that support the safe adoption of artificial intelligence solutions.<br>• Oversee security monitoring across infrastructure, networks, cloud services, endpoints, and business applications to identify and respond to potential threats.<br>• Lead vulnerability reviews, risk evaluations, and coordinated penetration testing efforts to uncover weaknesses and drive corrective action.<br>• Investigate security events, diagnose root causes, and resolve incidents and control gaps within established response timelines.<br>• Implement safeguards for AI and machine learning environments, including protections for models, sensitive data, user access, and operational risk.<br>• Use security platforms and endpoint detection tools to perform ongoing analysis of logs, alerts, and suspicious activity across the environment.<br>• Partner with cloud, infrastructure, development, and IT teams to improve defensive controls and strengthen the overall security posture.<br>• Support incident response planning by defining procedures, assisting with containment and recovery, and contributing to post-incident analysis.<br>• Recommend and deploy enhancements related to network defense, endpoint security, identity management, cloud protection, and data security measures.<br>• Prepare risk documentation, remediation plans, and leadership-facing updates while helping maintain alignment with recognized security frameworks and standards.
  • 2026-09-09T12:18:45Z
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