<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>
<p>Our client is seeking an experienced <strong>Senior QA Engineer</strong> to join a long-term application modernization initiative. The primary focus of this project is the <strong>migration of a legacy application to a modern technology stack</strong>, and the QA Engineer will play a key role in ensuring the quality, reliability, and functionality of the modernized application. The ideal candidate will have strong experience with <strong>automated end-to-end testing, Playwright, and manual testing</strong>, along with the ability to work closely with developers throughout the development and migration process.</p><p>This role is ideal for a QA professional who is comfortable working in a collaborative development environment, can take ownership of testing efforts, and communicates effectively with both technical and non-technical stakeholders.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Develop and execute comprehensive <strong>automated end-to-end tests</strong> for web-based applications.</li><li>Build, maintain, and expand automated test frameworks using <strong>Playwright</strong>.</li><li>Create and execute manual test cases to validate application functionality, usability, and overall quality.</li><li>Develop test plans, test scenarios, and test cases based on functional and technical requirements.</li><li>Identify, document, troubleshoot, and track software defects through resolution.</li><li>Collaborate closely with developers to identify issues, determine root causes, and validate fixes.</li><li>Participate throughout the software development lifecycle to ensure quality is incorporated into the development process.</li><li>Execute regression, functional, integration, and end-to-end testing.</li><li>Maintain automated test suites as the application evolves throughout the modernization and migration effort.</li><li>Help identify opportunities to improve test coverage, automation, and overall QA processes.</li><li>Clearly communicate testing progress, defects, risks, and potential quality concerns to the development team and project stakeholders.</li><li>Work within established development and QA standards and processes.</li><li>Contribute to a collaborative team environment and support the successful delivery of the application modernization initiative.</li></ul><p><br></p>
We are looking for an Automation Engineer to support engineering leadership and drive operational excellence in Trumbauersville, Pennsylvania. This position focuses on guiding cross-functional engineering efforts, strengthening manufacturing processes, and ensuring projects move forward with technical rigor and clear communication. The ideal candidate brings strong experience in automated manufacturing environments and can align engineering priorities with production, quality, and customer expectations.<br><br>Responsibilities:<br>• Guide and develop manufacturing engineering staff, process specialists, and technical team members across product and process initiatives from concept through implementation.<br>• Hold regular coaching discussions to support employee development, address technical roadblocks, and strengthen overall team performance.<br>• Act as the key connection between engineering and partner departments by clearly communicating technical capabilities, limitations, and project needs.<br>• Evaluate process flows, production methods, tooling concepts, machine programming, validation strategies, and system-level engineering plans to ensure quality and feasibility.<br>• Coordinate with operations, quality, supply chain, sales, and customers to align schedules, manage competing priorities, and maintain project momentum.<br>• Address team and cross-functional challenges with a balanced approach that supports collaboration, accountability, and timely execution.<br>• Foster a high-performance engineering culture by setting expectations, encouraging continuous improvement, and reinforcing ownership of results.<br>• Support automation and manufacturing initiatives that improve efficiency, consistency, and overall production capability.
<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.</p><p>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>
<p>We are looking for a QA Analyst to support a major automotive program in Southern California. This long-term contract opportunity is ideal for a quality specialist who can lead structured testing efforts, coordinate with cross-functional teams, and maintain strong visibility into readiness, risks, and outcomes. The role requires a hands-on approach to planning, execution, defect oversight, and reporting within a complex enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Develop and manage the overall quality assurance approach for the assigned program, including testing scope, readiness checkpoints, execution timelines, and status oversight.</p><p>• Produce and maintain core QA documentation such as test plans, schedules, scenarios, cases, data preparation plans, environment readiness plans, and approval milestones.</p><p>• Coordinate testing activities across business units, internal technology teams, external vendors, platform partners, integration teams, infrastructure groups, and security stakeholders.</p><p>• Monitor day-to-day testing progress by tracking coverage, execution results, defect activity, test data availability, environment status, dependencies, and unresolved decisions.</p><p>• Facilitate recurring QA review sessions to document progress, remove blockers, clarify next steps, and keep all participants aligned during execution.</p><p>• Identify emerging risks, issues, and dependency concerns early, then communicate business impact, recommended actions, and escalation needs to leadership.</p><p>• Lead defect review and resolution efforts by partnering with application teams, integration resources, vendors, downstream stakeholders, and business representatives.</p><p>• Maintain clear traceability between requirements, test cases, execution evidence, defect records, and release readiness decisions.</p><p>• Prepare detailed QA reporting that highlights delivery progress, defect trends, completed work, upcoming milestones, open risks, and decisions requiring stakeholder input.</p><p>• Support release preparation activities, including go/no-go readiness reviews, stakeholder updates, production validation planning, and post-cycle retrospective discussions.</p>
<p>About the Role</p><p>We're seeking Software QA Associates to support a major streaming media platform ahead of a new app launch. This role ensures subscribers have a seamless experience across web, mobile, and Smart TV platforms. You'll test software updates before and after release, including test setup/tear-down, preparing testing hardware, identifying new test cases and processes, and updating documentation.</p><p><br></p><p>Key Responsibilities</p><p>- Develop and execute test procedures and test cases for new and existing products</p><p>- Perform manual regression testing to confirm features/changes work as intended</p><p>- Prepare testing hardware (Smart TVs) with the latest release builds</p><p>- Assist the QA Lead on projects as requested</p><p>- Collaborate with stakeholders to ensure requirements are met</p><p>- Review product requirements and specs for system-level testing</p><p>- Report status, concerns, and risks to the QA Lead</p><p>- Provide daily (Scrum) and weekly (team huddle) status updates</p><p>- Participate in Agile/Scrum ceremonies</p><p><br></p><p><br></p>
We are looking for a skilled Quality Assurance Tester to join a team supporting enterprise software, connected devices, and customer-facing digital solutions in Milwaukee, Wisconsin. This Long-term Contract position is ideal for someone who combines strong manual testing expertise with technical depth in backend validation, system integrations, and release support. The role offers the opportunity to work closely with engineering, product, design, customer support, and global partners to help deliver stable, high-quality technology solutions.<br><br>Responsibilities:<br>• Direct hands-on testing for web applications, APIs, and interconnected business systems to confirm functionality, reliability, and overall quality.<br>• Partner with development, design, product, and support teams to verify new features, identify issues early, and help move releases forward successfully.<br>• Perform backend-focused validation to assess business logic, data accuracy, and system behavior across complex technical environments.<br>• Test integrations among enterprise platforms, API services, cloud-based applications, and connected systems, including environments involving NetSuite.<br>• Support release and deployment activities by completing pre-release checks, production validation, and post-launch testing.<br>• Coordinate defect tracking, issue follow-up, and testing progress with offshore teams to maintain alignment and timely resolution.<br>• Evaluate customer-facing technologies such as kiosk or device-enabled solutions to ensure consistent performance and usability.<br>• Create and maintain clear testing documentation, including test scenarios, executed cases, defect records, and readiness assessments.<br>• Assist in diagnosing technical problems during test cycles and production support efforts by collaborating closely with engineers on resolution steps.
<p>Robert Half is seeking a <strong>Software Test Engineer (QA)</strong> to support the delivery of enterprise applications with a strong emphasis on <strong>functional testing and API validation</strong>. This is a <strong>hands-on QA role focused on manual testing</strong>, not a dedicated automation/SDET position. The ideal candidate will have deep experience validating complex systems, including end-to-end workflows and system integrations.</p><p><br></p><p>In this role, you will be responsible for ensuring the quality and reliability of enterprise applications by designing and executing comprehensive manual test cases, validating APIs, and supporting integrated system testing. You will collaborate closely with engineering, product, and business stakeholders to ensure requirements are clearly understood and delivered with high quality.</p><p><br></p><p><strong>Duration: </strong>6 months with possible ext. or conversion</p><p><strong>Schedule: </strong>Monday - Friday - Flexible hours, must be available 7-4PM PST</p><p><strong>Location: </strong>100% Remote</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Own QA activities for assigned projects and application enhancements</li><li>Design, develop, and execute manual test cases (functional, integration, regression)</li><li>Validate end-to-end business workflows across multiple systems and services</li><li>Perform API testing using tools such as Swagger/OpenAPI and Postman</li><li>Create and maintain test data and support test environment readiness</li><li>Log, track, and verify defects through resolution</li><li>Participate in requirements reviews, design discussions, and test planning sessions</li><li>Develop test plans, test scenarios, and traceability matrices aligned to business and technical requirements</li><li>Partner with engineering teams to improve test coverage and system testability</li><li>Identify QA process improvements and promote best practices across teams</li></ul><p><br></p>
<p>We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.</p><p><br></p><p>The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.</p><p> </p><p>This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.</p><p> </p><p>The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.</p><p>• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.</p><p>• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.</p><p>• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.</p><p>• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.</p><p>• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.</p><p>• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.</p><p>• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.</p>
<p>We are seeking a detail-oriented QA Analyst with experience in both manual and automated testing to ensure the quality, reliability, and performance of enterprise applications. The ideal candidate will have hands-on experience developing test automation frameworks, validating data across SQL and NoSQL databases, and collaborating with Agile development teams to deliver high-quality software solutions.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and execute comprehensive test plans, test cases, and test scripts for web, mobile, and API-based applications.</li><li>Build and maintain automated test scripts using tools such as Selenium, Playwright, Cypress, TestNG, JUnit, or similar frameworks.</li><li>Perform functional, regression, integration, system, and user acceptance testing (UAT).</li><li>Validate data integrity, accuracy, and performance using SQL databases (SQL Server, Oracle, MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, DynamoDB, Couchbase, etc.).</li><li>Execute API testing using tools such as Postman, SoapUI, Rest Assured, or Swagger.</li><li>Analyze test results, identify defects, and work closely with developers to troubleshoot and resolve issues.</li><li>Create and maintain automated test suites as part of CI/CD pipelines using tools such as Azure DevOps, Jenkins, GitHub Actions, or GitLab CI/CD.</li><li>Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and backlog refinement.</li><li>Develop test metrics and quality reports to communicate testing progress and application readiness.</li><li>Collaborate with business analysts, developers, product owners, and stakeholders to understand requirements and ensure acceptance criteria are met.</li><li>Perform root cause analysis on production issues and recommend process improvements.</li></ul><p><br></p>
<p>Based on general knowledge. The Quality Assurance Analyst is responsible for evaluating processes, systems, and deliverables to ensure quality standards are consistently met. This role works closely with cross-functional teams to identify issues, recommend improvements, and support the development and execution of quality assurance procedures. The ideal candidate is detail-oriented, analytical, and committed to continuous improvement.</p><p><strong>Key Responsibilities:</strong></p><p>Based on general knowledge.</p><ul><li>Develop, review, and execute quality assurance processes, test plans, and test cases</li><li>Identify defects, inconsistencies, and process gaps and document findings clearly</li><li>Collaborate with business, operations, and technical teams to resolve quality-related issues</li><li>Monitor performance and compliance with established quality standards</li><li>Track, analyze, and report quality metrics and testing results</li><li>Support root cause analysis and recommend corrective actions</li><li>Assist in process improvement initiatives to enhance efficiency and accuracy</li><li>Ensure documentation is complete, accurate, and up to date</li><li>Participate in audits, reviews, and validation activities as needed</li></ul><p><br></p>
<p>Strong Excel skills are critical. This role is heavily focused on spreadsheets, data cleanup, reporting, and maintaining large datasets.</p><p>Support customer service and sales support teams with data accuracy, documentation, and process-related tasks.</p><p>Assist with large-scale system migrations, including onboarding buildings with anywhere from a few units to 100+ units and preparing/importing data files.</p><p>Work extensively within a large ERP system and related data management platforms.</p><p>Partner closely with a Senior Manager and Billing team to validate project data, unit information, and system setup.</p><p>Generate and distribute mail merges and customer communications.</p><p>Maintain and audit data within internal systems, including ICONS and Data Warehouse environments.</p><p>Support marketing and operational initiatives through data management, reporting, and mail merge campaigns.</p><p>Perform ongoing data cleansing, quality control checks, and process verification to ensure information accuracy.</p><p>Communicate effectively across departments to resolve discrepancies and support business operations.</p>
We are looking for an Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
<p>We are seeking a <strong>Contract Software Test Engineer</strong> in <strong>Huntsville, AL</strong> office. This role will support testing of software products including analysis tools, simulations, mission planning applications, and mission-critical systems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Perform <strong>automated, integration, manual, and formal qualification testing</strong></li><li>Develop and maintain <strong>test frameworks, infrastructure, and automation solutions</strong></li><li>Support <strong>test planning, strategy, design, and execution</strong></li><li>Review and generate <strong>test and engineering documentation</strong></li><li>Collaborate closely with developers and engineering teams</li><li>Support <strong>software fielding, maintenance, and product quality efforts</strong></li></ul><p><br></p>
About the Role Our client is seeking an entry to mid-level Software Test Engineer to join its team in Huntsville, Alabama. This is a fully onsite opportunity supporting tactical strike guided munition programs in a mission-driven defense environment. This role is ideal for candidates with 2–4 years of experience who are looking to grow their careers in software quality, automation, and systems testing. The selected candidate will help test software products ranging from analysis tools and simulations to mission planning software and other mission-critical systems. The position focuses on automated testing, test infrastructure development, integration testing, manual testing, formal software qualification testing, fielding, support, and maintenance. Key Responsibilities Support test planning, test strategy, test design, and test execution for software products and systems Participate as an integral team member in software quality and testing efforts across complex, multi-disciplinary projects Develop and maintain automated test frameworks and test infrastructure Perform integration testing, informal manual testing, and formal software qualification testing Review, edit, and generate engineering and test documentation in accordance with applicable standards Collaborate closely with software developers and cross-functional engineering teams Provide recommendations on software and product quality Support fielding, maintenance, and ongoing improvement of software products Learn from and work alongside senior test engineers in a collaborative environment
<p>Our client is seeking a <strong>Supplier Quality Engineer</strong> to drive supplier quality performance, lead corrective action initiatives, and reduce manufacturing defects and material-related scrap. This role partners closely with suppliers, engineering, operations, and quality teams to ensure purchased materials meet quality expectations and support continuous improvement efforts.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead supplier quality investigations, containment activities, and corrective action efforts.</li><li>Partner with suppliers to identify root causes and implement sustainable solutions using methodologies such as <strong>8D</strong> and continuous improvement tools.</li><li>Coordinate material sorting and containment activities with internal teams, suppliers, and third-party providers.</li><li>Track and analyze supplier-related quality issues, assembly damage, and scrap trends.</li><li>Drive process improvement initiatives using <strong>DMAIC</strong>, Pareto analysis, trend analysis, and data-driven action plans.</li><li>Manage the supplier failure analysis process, including tracking returned materials and ensuring timely supplier responses.</li><li>Collaborate with Operations, Quality, Process Engineering, and Test Engineering teams to improve product quality and reduce costs.</li><li>Support ISO 9001 quality management activities, including internal audits, documentation, calibration, and continuous improvement efforts.</li><li>Prepare reports and communicate quality performance metrics to management and key stakeholders.</li></ul><p><br></p>
<p>Robert Half is seeking a <strong>MuleSoft Developer</strong> to support a high-impact integration environment in support of an automobile services client based in Bellevue, WA. This role will focus on strengthening API architecture, integration discipline, security, and overall MuleSoft maturity while helping position the organization for future <strong>Agentic AI</strong> initiatives.</p><p><br></p><p><strong>Duration:</strong> 6 month contract with the potential to convert </p><p><strong>Location: </strong>100% Remote, client is based in Bellevue. </p><p><strong>Schedule: </strong>Monday - Friday Core Business Hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and support enterprise integrations using <strong>MuleSoft</strong> and <strong>Anypoint Platform</strong>.</li><li>Build and maintain <strong>REST and SOAP APIs</strong> supporting system-to-system integrations.</li><li>Develop event-driven integrations and help transition the organization toward more scalable, event-based architecture.</li><li>Leverage <strong>Microsoft Azure</strong> services to support integration, API, and cloud-based solutions.</li><li>Implement secure integrations using <strong>OAuth</strong>, Azure security services, and <strong>Azure Key Vault</strong>.</li><li>Help establish stronger API development standards, governance, architecture, and engineering discipline across the MuleSoft environment.</li><li>Collaborate with architects, engineers, product owners, and business stakeholders to define integration solutions and technical requirements.</li><li>Participate in weekly Agile sprints, including sprint planning, backlog refinement, burn-downs, and delivery activities.</li><li>Troubleshoot integration issues and provide Level 2/3 technical support for production systems.</li><li>Contribute to the evolution of MuleSoft capabilities supporting future <strong>Agentic AI</strong> and intelligent workflow initiatives.</li><li>Help integrate MuleSoft with SaaS platforms and emerging technologies as the organization continues to modernize its application ecosystem.</li></ul><p><br></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>We are looking for an experienced Quality Assurance Tester to support software quality initiatives. This opportunity focuses on validating enterprise applications, IoT-related solutions, APIs, integrations, and data movement across connected platforms. The role works closely with cross-functional teams to confirm that new and updated systems perform reliably, meet business expectations, and are ready for release.</p><p><br></p><p>Responsibilities:</p><p>• Drive end-to-end testing efforts by shaping quality approach, coordinating execution, and confirming release readiness across business and technology solutions.</p><p>• Develop and maintain organized test assets in Azure DevOps, including scenarios, cases, suites, evidence, and execution records.</p><p>• Partner with product, business, and engineering teams to translate requirements and acceptance criteria into practical, risk-based test coverage.</p><p>• Perform a range of validation activities such as functional, integration, regression, smoke, exploratory, end-to-end, and user acceptance testing.</p><p>• Log, prioritize, and retest defects using tracking platforms such as Azure DevOps or Jira, while clearly communicating issue impact and status.</p><p>• Assess APIs, system integrations, databases, messaging tools, dashboards, and data pipelines to verify complete and accurate solution behavior.</p><p>• Contribute to Agile delivery by supporting sprint activities, release planning, readiness reviews, and quality reporting tied to go/no-go decisions.</p><p>• Work with technical teams to investigate root causes, confirm fixes, improve testability, and expand regression coverage over time.</p><p>• Assist with test data preparation, environment validation, observability checks, and post-deployment support as needed.</p>
<p>Seeking an AI Engineer to design, implement, and optimize AI-powered solutions that improve business processes, knowledge management, and operational efficiency. This role will work closely with technical and business teams to develop generative AI applications, build retrieval-based solutions, establish AI best practices, and ensure secure and compliant use of AI technologies.</p><p><br></p><p><strong>POSITION TITLE: AI Engineer</strong></p><p><strong>LOCATION: Coppell, TX (Onsite 5 days)</strong></p><p><strong>DURATION: 6-12 Months</strong></p><p><strong>SALARY: $65-70/hour</strong></p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Design, develop, and optimize AI-powered applications and workflows using Large Language Models (LLMs) and generative AI technologies.</li><li>Build and maintain prompt libraries, prompt evaluation frameworks, and best practices to improve AI accuracy, consistency, and user adoption.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions that connect AI platforms to enterprise systems, databases, and document repositories.</li><li>Partner with business stakeholders to identify use cases and implement AI solutions that drive process improvements and operational efficiencies.</li><li>Establish AI governance, security controls, testing procedures, and compliance standards for production deployments.</li></ul>
<p>We are seeking a skilled AI Engineer to join our dynamic technology team. The ideal candidate has hands-on experience integrating advanced AI and large language model (LLM) features into applications, as well as a strong background in designing and delivering AI-driven solutions. In this role, you will work closely with product, engineering, and data teams to build and enhance innovative products using the latest AI frameworks and tools.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Design, develop, and integrate AI and LLM features into new or existing applications, ensuring scalable and reliable deployment.</li><li>Collaborate with cross-functional teams to define technical requirements and deliver AI-driven functionalities in production environments.</li><li>Utilize AI frameworks, APIs, and platforms such as OpenAI, LangChain, vector databases, and machine learning libraries to accelerate solution development.</li><li>Lead prompt engineering, fine-tuning, and model optimization initiatives to improve performance and user outcomes.</li><li>Evaluate and select the most appropriate AI/ML models, tools, and platforms for project needs.</li><li>Conduct documentation, code reviews, testing, and performance monitoring of AI-driven products.</li><li>Stay up to date with advancements in artificial intelligence, generative models, and industry best practices.</li></ul><p><br></p>
We are looking for a skilled Artificial Intelligence (AI) Engineer to join our team in Tampa, Florida. This role offers the opportunity to design and implement innovative AI solutions while collaborating with cross-functional teams to drive impactful results. As a Contract to permanent position, this role provides a pathway to long-term growth and development within our organization.<br><br>Responsibilities:<br>• Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras.<br>• Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance.<br>• Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows.<br>• Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets.<br>• Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards.<br>• Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements.<br>• Participate in coding reviews and testing processes to ensure high-quality deliverables.<br>• Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards.<br>• Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
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.
<p>We are looking for an Artificial Intelligence (AI) Engineer to create and expand advanced AI solutions that support real-world business applications in Atlanta, Georgia. This position is ideal for a hands-on engineer who can turn emerging AI concepts into reliable production systems, from intelligent workflows to scalable backend services. The role blends applied machine learning, large language model integration, and software engineering to deliver secure, high-performing tools in an enterprise setting.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.</p><p>• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.</p><p>• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.</p><p>• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.</p><p>• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.</p><p>• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.</p><p>• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.</p><p>• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.</p><p>• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.</p>
<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>