<p>Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For, is seeking a <strong>QA Automation Engineer IV </strong>to join our ATI Salesforce Competency Center. This is a highly visible, architect-level role focused on driving automation strategy, modernizing test frameworks, and enabling quality across enterprise Salesforce initiatives.</p><p><br></p><p>If you enjoy solving complex quality challenges, mentoring engineers, building scalable automation solutions, and working with emerging AI technologies, we'd love to hear from you.</p><p><br></p><p><strong>What You'll Do</strong></p><p>Design, develop, and maintain automated testing solutions for Salesforce applications, APIs, integrations, and enterprise business processes.</p><p>Lead automation strategy across multiple Agile teams, supporting 5-6 Scrum teams simultaneously.</p><p>Build scalable, reusable automation frameworks using <strong>Robot Framework, Selenium, Python</strong>, and related technologies.</p><p>Conduct proof-of-concepts, framework evaluations, and automation architecture reviews.</p><p>Perform code reviews and establish automation best practices across teams.</p><p>Develop automated tests for UI, API, integration, regression, and end-to-end scenarios.</p><p>Create and manage automated test data strategies across Salesforce and integrated platforms.</p><p>Validate Salesforce Lightning applications, workflows, APIs, and MuleSoft integrations.</p><p>Collaborate with developers and product teams to identify automation opportunities early in the development lifecycle.</p><p>Leverage AI-powered testing tools and generative AI solutions to improve test creation, maintenance, execution efficiency, and defect analysis.</p><p>Mentor and train engineers on automation frameworks, quality engineering practices, and emerging technologies.</p>
We are looking for a QA Technical Coordinator to join a food and food processing organization in El Segundo, California on a contract-to-permanent basis. This position focuses on strengthening food safety, quality programs, supplier compliance, and regulatory alignment so products consistently satisfy internal expectations, customer standards, and industry requirements. The role works closely with cross-functional teams, suppliers, and customers to address quality issues, support audits, and improve documentation and operating practices.<br><br>Responsibilities:<br>• Lead day-to-day coordination of quality assurance activities to support compliance with company standards, customer expectations, and applicable food industry regulations.<br>• Review quality and performance data, identify recurring issues or risk patterns, and help drive corrective and preventive actions that improve products and processes.<br>• Create, revise, and organize controlled quality documents such as procedures, work instructions, specifications, records, and technical summaries.<br>• Partner with teams across operations, research and development, supply chain, procurement, and regulatory affairs to advance product quality and continuous improvement efforts.<br>• Conduct supplier assessments, site inspections, incident reviews, and root cause investigations to strengthen compliance and operational effectiveness.<br>• Track supplier performance against food safety and customer quality requirements, and follow through on actions needed to close gaps.<br>• Support customer compliance activities for major retail and foodservice accounts by preparing documentation, responding to requests, and helping maintain account-specific standards.<br>• Assist with internal audits, third-party certification reviews, customer visits, and regulatory inspections by preparing records and coordinating follow-up actions.<br>• Compile quality metrics and compliance reporting for leadership while helping promote a culture centered on food safety, accountability, and ongoing improvement.
<p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
<p>Robert Half is seeking an innovative <strong>AI Software Engineer</strong> to join our client's technology team. In this role, you will design, develop, and deploy AI-powered applications and services that leverage machine learning, large language models (LLMs), and modern cloud technologies. The ideal candidate combines strong software engineering fundamentals with hands-on experience building and integrating AI solutions into production environments. This position offers the opportunity to work on cutting-edge AI initiatives that drive automation, improve business processes, and create intelligent user experiences.</p><p><br></p><p>Key Responsibilities</p><ul><li><strong>AI Application Development:</strong> Design, build, and maintain AI-powered applications, APIs, and services using modern software development practices.</li><li><strong>LLM Integration:</strong> Develop solutions utilizing large language models (OpenAI, Anthropic, Gemini, Llama, etc.) through APIs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.</li><li><strong>Machine Learning Solutions:</strong> Build, train, evaluate, and deploy machine learning models to solve business challenges.</li><li><strong>Software Engineering:</strong> Develop scalable backend systems and microservices using languages such as Python, C#, Java, or JavaScript/TypeScript.</li><li><strong>Data Processing:</strong> Design data pipelines and workflows for collecting, transforming, and preparing data used in AI applications.</li><li><strong>Cloud Deployment:</strong> Deploy and manage AI workloads within cloud environments including AWS, Azure, or Google Cloud Platform.</li><li><strong>Model Optimization:</strong> Monitor AI system performance, improve model accuracy, optimize inference costs, and implement guardrails for reliability and security.</li><li><strong>Collaboration:</strong> Partner with product managers, data engineers, data scientists, and business stakeholders to deliver AI solutions aligned with organizational goals.</li><li><strong>Documentation:</strong> Create and maintain technical documentation for AI architectures, workflows, APIs, and deployment processes.</li><li><strong>Research & Innovation:</strong> Stay current on emerging AI technologies, frameworks, and industry best practices.</li></ul><p><br></p>
We are looking for a QA Analyst to support software testing initiatives for a high-visibility enterprise program in Jacksonville, Florida. This role partners closely with development and program teams to ensure applications meet business and technical expectations through thoughtful planning, detailed validation, and clear defect reporting. The ideal candidate brings strong manual testing experience, comfort working with Oracle-based environments, and a collaborative approach to improving software quality.<br><br>Responsibilities:<br>• Assess the scope of testing activities and provide effort estimates for assignments of varying size and complexity.<br>• Examine business requirements, solution designs, and technical documentation to uncover gaps and build effective test coverage.<br>• Develop, update, and carry out structured test plans, test cases, and test scripts that verify expected system behavior.<br>• Log, monitor, and retest defects while communicating findings, risks, and progress to project stakeholders.<br>• Perform functional and regression testing across assigned application areas and summarize outcomes in a clear, organized manner.<br>• Adjust testing approaches as project needs evolve and help maintain alignment between requirements and validation efforts.<br>• Partner with automation specialists to troubleshoot issues affecting automated functional or performance test execution.<br>• Recommend enhancements to quality assurance practices, tools, and reporting to strengthen overall testing effectiveness.<br>• Provide guidance to less experienced analysts and contribute subject matter expertise on critical business applications.<br>• Support project coordination activities, including planning efforts and the configuration or improvement of testing tools used by the team.
We are looking for a detail-oriented Quality Assurance Tester to support the delivery of reliable, user-friendly web applications in The Woodlands, Texas. This role combines hands-on manual testing with automated test execution to identify defects, improve product quality, and strengthen the overall user experience. The ideal candidate is comfortable working across multiple test scenarios, documenting findings clearly, and collaborating with cross-functional teams to resolve issues efficiently.<br><br>Responsibilities:<br>• Design and carry out manual test cases to validate application functionality, usability, and performance across web environments.<br>• Build, maintain, and execute automated browser-based test scripts using Selenium to improve test coverage and consistency.<br>• Record, track, and communicate defects with clear reproduction steps, expected outcomes, and actual results for timely resolution.<br>• Partner with developers, product stakeholders, and support teams to clarify requirements and confirm that delivered features meet quality standards.<br>• Use Zendesk and related tools to review reported issues, verify defects, and help prioritize testing efforts based on customer impact.<br>• Perform regression, smoke, and functional testing during release cycles to confirm system stability after updates or fixes.<br>• Maintain organized test documentation, including test plans, execution results, and defect summaries for ongoing quality reporting.
<p>We are looking for an Automation Engineer to help advance workflow efficiency and the design and deployment of applications for a healthcare organization. This role partners with operational, clinical, financial, and technical teams to turn business needs into practical automation solutions that improve accuracy, reduce manual effort, and support scalable operations. The position is ideal for someone who enjoys building resilient tools, integrating complex systems, and contributing to a collaborative engineering environment.</p>
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
<p>Are you passionate about building scalable cloud platforms that power next-generation AI solutions? We're looking for an <strong>AI Platform Engineer</strong> to help design, automate, and support a modern Azure-based platform used to deploy and manage AI applications, agents, and services across the enterprise.</p><p>This role is ideal for a DevOps or Cloud Engineer with strong Azure experience, Infrastructure-as-Code expertise, and a development background in C#/.NET or Python.</p><p>What You'll Do</p><ul><li>Build and maintain Azure cloud infrastructure supporting AI and application workloads</li><li>Develop reusable Infrastructure as Code (IaC) solutions using Terraform</li><li>Design and manage CI/CD pipelines with Azure DevOps and GitHub Actions</li><li>Automate platform provisioning, deployments, onboarding, and operational tasks</li><li>Develop automation and integration services using C#/.NET or Python</li><li>Support Azure API Management (APIM), containerized workloads, and cloud-native services</li><li>Implement security controls using Entra ID, Managed Identities, RBAC, and Key Vault</li><li>Monitor platform health and performance using Azure Monitor, Application Insights, and Log Analytics</li><li>Partner with development teams to move solutions from proof of concept to production</li><li>Create documentation, standards, and best practices for platform adoption</li></ul><p><br></p>
We are looking for a detail-oriented Quality Assurance Specialist to support production quality activities within a manufacturing environment in Richmond, Virginia. This Long-term Contract position focuses on maintaining product accuracy through routine inspections, label verification, and weight confirmation throughout the production cycle. The ideal candidate will work closely with plant teams and use both hands-on quality practices and structured testing methods to help uphold consistent standards.<br><br>Responsibilities:<br>• Perform scheduled hourly inspections during production runs to confirm products meet established quality standards.<br>• Review packaging and product labels for accuracy, completeness, and compliance before materials move forward in the process.<br>• Verify product weights at regular intervals and document findings to ensure consistency with manufacturing specifications.<br>• Monitor activity on the plant floor and communicate any quality concerns promptly to the appropriate team members.<br>• Maintain clear and accurate quality records from inspections, checks, and observed production issues.<br>• Partner with manufacturing personnel and quality staff to support a clean, organized, and compliant production environment.<br>• Investigate variances identified during routine checks and assist in resolving issues that could affect product quality.
<p><strong>Robert Half Permanent Placement</strong> is excited to partner with an aerospace industry manufacturer in <strong>the Buffalo, NY area </strong>on their search for a skilled <strong>Quality Assurance Associate. </strong>This role has a starting wage of <strong>$32 - $38 per hour depending on experience</strong> and includes a comprehensive benefits package. Our great client is going through a growth stage and needs to add a Quality Assurance professional with direct experience with First Article Inspection Reports that can step right in a be a part of a highly functioning Quality team.</p><p><br></p><p><strong>Responsibilities include but not limited to:</strong></p><p><br></p><ul><li>Support the aerospace quality management system through inspections, audits, data analysis, and continuous improvement activities</li><li>Perform AS9102 First Article Inspections (FAIs) to verify product compliance and documentation accuracy</li><li>Conduct incoming inspection of machined parts and purchased components, including review of certifications and test reports</li><li>Document nonconformances and assist with product failure investigations and corrective action efforts</li><li>Ensure compliance with customer-specific, aerospace, and AS9100 quality requirements</li><li>Maintain calibration and inspection records and help support overall AS9100 quality system requirements</li><li>Use mechanical, optical, electrical, and pressure measuring equipment to inspect components, soldered assemblies, and welds to applicable standards</li><li>Provide technical guidance to the inspection team as needed and leverage strong drawing interpretation, inspection, and Microsoft Office/Excel skills</li></ul><p><br></p>
We are looking for a Quality Assurance Specialist to support laboratory quality operations in Reading, Pennsylvania. This Long-term Contract position will focus on strengthening quality systems, maintaining accurate documentation, coordinating sample activities, and helping ensure materials and products meet established standards. The role offers the opportunity to contribute to laboratory best practices, compliance readiness, and ongoing process improvement within a regulated environment.<br><br>Responsibilities:<br>• Create, review, and maintain quality documents such as standard operating procedures, work instructions, forms, logs, and Certificates of Analysis to support compliant laboratory operations.<br>• Manage the full sample lifecycle by collecting, preparing, labeling, tracking, and submitting materials for internal assessment and external laboratory testing.<br>• Oversee retention sample activities, including inventory control, storage organization, traceability, and disposal in line with approved procedures.<br>• Support the development and refinement of the quality control program by helping establish laboratory workflows, testing practices, and operational standards.<br>• Maintain document control and records management processes to ensure quality files are accurate, current, and readily accessible for review.<br>• Partner with third-party testing providers to coordinate submissions, monitor status, and keep detailed testing records.<br>• Assist with audit preparation and compliance efforts by organizing documentation and supporting quality system readiness activities.<br>• Perform and document physical, chemical, or analytical testing as needed, and communicate findings clearly to relevant stakeholders.<br>• Contribute to investigations involving nonconforming results or product quality issues, helping identify causes and support corrective actions.
We are looking for a Quality Assurance Specialist to join a global apparel and fashion organization in Secaucus, New Jersey. This Long-term Contract opportunity combines quality assurance coordination with administrative support, offering a key role in keeping product submissions, documentation, and reporting organized and on schedule. The position partners closely with quality leadership, suppliers, and factory teams to help maintain visibility into samples, deadlines, and quality-related records.<br><br>Responsibilities:<br>• Provide day-to-day support to quality leadership by managing administrative tasks, organizing priorities, and helping the team stay aligned on deliverables.<br>• Monitor sample activity from submission through follow-up, ensuring items are logged accurately and tracked against required timelines.<br>• Maintain organized quality documentation and update records so information is current, accessible, and audit-ready.<br>• Prepare and distribute Excel-based reports that highlight status updates, open items, and progress against deadlines.<br>• Communicate with suppliers and factory partners to gather missing information, confirm expectations, and resolve outstanding submissions.<br>• Follow up consistently on pending approvals, late deliverables, and incomplete documentation to keep projects moving forward.<br>• Assist with coordination across the QA function to support product quality processes and reporting needs.<br>• Help manage scheduling, reporting, and other operational tasks that contribute to an efficient quality assurance workflow.
<p>We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul><p><br></p>
<p>We’re seeking an Automation Developer to design, build, and optimize automation solutions that drive operational efficiency and improve business outcomes. This role focuses on developing secure, scalable applications and workflows using Microsoft Power Platform, RPA technologies, API integrations, and emerging AI capabilities. You'll collaborate closely with both technical teams and business stakeholders to deliver reliable, well-governed solutions that support organizational goals.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and enhance automation workflows and business applications using Microsoft Power Platform, RPA tools, and related technologies.</li><li>Integrate APIs, AI services, and other modern technologies to improve process efficiency and user experience.</li><li>Implement secure solutions that protect data, credentials, and system interactions while meeting compliance and governance standards.</li><li>Follow established development practices for solution design, testing, deployment, documentation, and ongoing support.</li><li>Partner with IT teams and business stakeholders to gather requirements and translate business challenges into technical solutions.</li><li>Create technical designs, development plans, and implementation approaches for approved initiatives.</li><li>Lead and support testing activities, including user acceptance testing, to ensure solutions perform as expected.</li><li>Monitor production environments, troubleshoot issues, and resolve automation failures to maintain system reliability and performance.</li><li>Maintain documentation, approvals, and audit-ready records to support change management, compliance, and software development lifecycle requirements.</li></ul><p><br></p>
<p>We are looking for a PLC Programmer/Automation Engineer to join a growing automation team in NW Tampa, FL area. This position focuses on developing and supporting process control solutions for bulk material handling, batching, weighing, mixing, and related industrial systems. The role is ideal for an engineer who enjoys combining PLC programming, HMI/SCADA development, and field commissioning to deliver reliable automation systems across complex manufacturing environments.</p><p><br></p><p>Responsibilities:</p><p>• Design, program, and test PLC-based control systems for industrial processing and bulk ingredient handling applications using Rockwell Automation platforms.</p><p>• Develop HMI and SCADA interfaces that give operators clear visibility into system performance, process status, and alarm conditions.</p><p>• Configure instrumentation and control devices, then support startup, tuning, and on-site commissioning to ensure systems perform as intended.</p><p>• Interpret process flow diagrams, P&IDs, and electrical schematics to translate engineering requirements into effective automation logic.</p><p>• Partner with project managers, electrical design teams, and startup personnel to coordinate implementation activities and resolve technical issues.</p><p>• Troubleshoot control hardware, industrial networks, drives, and connected field equipment to maintain reliable system operation.</p><p>• Assist with integrating third-party equipment and vendor systems into broader plant automation architectures.</p><p>• Travel to customer sites as needed to support validation, system checkout, operational readiness, and user training.</p>
<p>We are looking for an Artificial Intelligence (AI) Engineer to support the design, deployment, and ongoing operation of AI systems for a government services organization in Albuquerque, New Mexico. This position centers on building reliable AI infrastructure, enabling machine learning solutions in production, and partnering with cross-functional teams to deliver secure, scalable platforms. </p><p>The ideal candidate brings strong experience in automation, Kubernetes-based deployments, and modern MLOps practices, along with the ability to translate technical needs into durable operational solutions.</p><p><br></p><p>Responsibilities:</p><p>• Direct the rollout and integration of AI platforms and services, ensuring they work effectively with existing enterprise technologies and operational standards.</p><p>• Architect, implement, and refine AI infrastructure in partnership with cloud, server, and platform engineering teams to support dependable system performance.</p><p>• Move machine learning solutions from development into production by establishing repeatable processes for deployment, maintenance, and long-term support.</p><p>• Create and manage CI/CD and MLOps workflows that cover model validation, packaging, release, rollback, and lifecycle oversight.</p><p>• Automate infrastructure and platform operations through scripting, infrastructure-as-code methods, and configuration management tools.</p><p>• Troubleshoot platform and service issues, perform root cause analysis, and produce clear technical documentation for support and maintenance activities.</p><p>• Strengthen system visibility by implementing logging, monitoring, alerting, and incident response practices across AI environments.</p><p>• Uphold security and compliance expectations by contributing to audits, remediation efforts, vulnerability management, and secure design reviews.</p><p>• Identify and deliver improvements that increase performance, scalability, reliability, and cost efficiency across AI-enabled systems.</p><p>• Work with technical and business stakeholders to align AI implementations with organizational priorities and evaluate emerging tools for long-term operational value.</p><p>Other duties as needed</p>
<p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>
<p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li><br></li></ul><p><br></p>
<p>We are seeking an experienced <strong>AI Engineer</strong> to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong <strong>.NET full-stack development experience</strong> with expertise in <strong>Microsoft Azure</strong> and modern <strong>AI technologies</strong>, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.</p><p>You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.</p><p>Responsibilities</p><ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing <strong>C#</strong>, <strong>.NET Core</strong>, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as <strong>React</strong>, <strong>Angular</strong>, or <strong>Blazor</strong>.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul><p><br></p>
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to join a growing team. This position focuses on building intelligent, production-ready applications that combine modern software engineering with advanced agent-based AI capabilities. The ideal candidate will lead solutions from early design through deployment, creating scalable services, responsive user experiences, and reliable AI-driven workflows that support business objectives.</p><p><br></p><p>Responsibilities:</p><p>• Lead the full product development lifecycle for AI-powered applications, from solution design and architecture through testing, deployment, and ongoing improvement.</p><p>• Create and support backend platforms using Python or Node.js, delivering scalable services and well-structured APIs for web and AI-based systems.</p><p>• Build and refine React-based user interfaces that connect smoothly with backend services and provide a consistent application experience.</p><p>• Design distributed architectures, including microservices and agent orchestration patterns, to support complex reasoning, tool usage, memory, and multi-step execution.</p><p>• Integrate large language models with business systems, external tools, databases, and enterprise applications to enable practical automation and decision support.</p><p>• Improve performance across applications by tuning services, optimizing database interactions, and managing efficient use of cloud infrastructure.</p><p>• Establish secure engineering practices by implementing authentication, access controls, and reliable approaches to privacy, testing, and system protection.</p><p>• Oversee containerized deployments and continuous delivery workflows using Docker and related DevOps tooling, while resolving issues in production cloud environments.</p><p>• Define evaluation, monitoring, and tracing methods that measure AI agent quality, cost, latency, safety, and overall operational reliability.</p><p>• Partner with cross-functional stakeholders and provide technical guidance to engineers contributing to agentic AI initiatives and platform development.</p>
We are looking for an Artificial Intelligence (AI) Engineer to join a long-term contract opportunity based in Cincinnati, Ohio. In this role, you will create and operationalize AI and machine learning solutions with a strong focus on generative AI, helping translate business needs into secure, scalable applications. You will collaborate across technical and business teams to deliver production-ready models, strengthen AI adoption, and support measurable outcomes through thoughtful engineering and evaluation.<br><br>Responsibilities:<br>• Create, train, and deploy scalable AI and machine learning solutions, including generative AI applications such as large language models, retrieval-augmented systems, and prompt-driven workflows.<br>• Build and maintain data pipelines, feature preparation processes, and model training and evaluation jobs using Python and established machine learning frameworks.<br>• Deliver models into production as APIs or batch processes, and improve inference performance with attention to speed, reliability, and cost efficiency.<br>• Assess emerging generative AI tools and model architectures, including embeddings, vector search, and diffusion-based approaches, to support defined business use cases.<br>• Develop prompt strategies, orchestration flows, safety controls, and evaluation methods, using structured testing to improve response quality and reduce risk.<br>• Apply MLOps and LLMOps practices such as experiment tracking, version control, deployment automation, monitoring, alerting, and drift detection.<br>• Integrate AI services with enterprise data platforms and business systems, including APIs, event-driven architectures, data warehouses, and reporting environments.<br>• Partner with product, analytics, IT, and data architecture teams to clarify requirements, document technical decisions, and deliver solutions that meet agreed objectives.<br>• Promote responsible AI practices by incorporating privacy, security, fairness, and content safety considerations into model behavior, testing, and deployment.<br>• Track performance indicators for AI initiatives, share insights on effectiveness and adoption, and stay current with advances in generative AI and broader machine learning methods.