<p>We are seeking an Automation QA Engineer to support the design, development, and execution of automated testing solutions for web applications, APIs, and enterprise systems. This role will work closely with developers, business analysts, and QA team members to ensure applications are reliable, scalable, and production-ready.</p>
<p>About the Role</p><p>We are seeking a Senior Quality Assurance Engineer / End-to-End Test Lead to support large-scale retail technology initiatives for a fast-paced enterprise environment. This role is ideal for an experienced QA professional with strong retail domain expertise, hands-on test automation experience, and a proven track record leading end-to-end testing efforts across large teams and complex projects.</p><p>The ideal candidate will be comfortable coordinating testing activities across multiple stakeholders, driving quality assurance strategies, and ensuring successful delivery of enterprise retail systems and applications.</p><p>Key Responsibilities</p><ul><li>Lead and coordinate end-to-end testing activities across large-scale retail technology projects</li><li>Collaborate with cross-functional teams including developers, business analysts, product owners, and project managers</li><li>Develop and execute comprehensive QA strategies, test plans, and test cases</li><li>Drive defect tracking, root cause analysis, and issue resolution throughout the testing lifecycle</li><li>Support and contribute to automated testing efforts and quality engineering best practices</li><li>Ensure testing coverage across integrated retail systems, applications, and workflows</li><li>Provide status updates, testing metrics, and risk assessments to leadership and stakeholders</li><li>Act as a Subject Matter Expert (SME) within retail systems and quality assurance processes</li><li>Mentor junior QA team members and help drive continuous improvement initiatives</li></ul>
We are looking for a Software QA Test Engineer to join a semiconductor equipment team in Fort Washington, Pennsylvania on a contract basis with the potential for a permanent role. In this role, you will help verify the performance, stability, and reliability of complex software that supports precision equipment, working closely with engineering and cross-functional partners in an Agile environment. The position offers hands-on involvement with both simulated platforms and production hardware while contributing to high-quality releases for advanced automation systems.<br><br>Responsibilities:<br>• Create and maintain comprehensive test strategies, detailed test cases, and execution scripts for software used in real-time equipment control.<br>• Partner with developers, systems engineers, and distributed team members to clarify requirements and confirm test readiness for new functionality.<br>• Conduct functional, integration, end-to-end, and regression testing to evaluate software behavior across multiple operating scenarios.<br>• Record, prioritize, and follow software defects through resolution using established issue-tracking practices and tools.<br>• Build and enhance automated validation routines in Python to improve repeatability and broaden system-level test coverage.<br>• Assess software performance in simulation environments as well as on physical semiconductor manufacturing equipment.<br>• Assist with equipment demonstrations, qualification activities, and customer acceptance events by validating system operation and issue resolution.<br>• Analyze unexpected system behavior, isolate root causes, and collaborate with development teams to drive effective fixes.<br>• Recommend and implement improvements to QA workflows, testing tools, and overall coverage to strengthen product quality.
We are looking for an Automation Engineer to support manufacturing performance through reliable control systems, equipment optimization, and hands-on technical problem-solving. This role is based in Olyphant, Pennsylvania and focuses on improving uptime, efficiency, and process consistency across automated production operations. The ideal candidate will bring strong experience with industrial automation technologies and a practical approach to troubleshooting, testing, and continuous improvement.<br><br>Responsibilities:<br>• Install, oversee, and sustain automation equipment, system software, and related applications to support production goals and key operational metrics.<br>• Diagnose issues within automated manufacturing environments and provide technical support for controls, production lines, and robotic equipment.<br>• Program, adjust, and maintain PLC-based control systems, including work involving Allen-Bradley platforms.<br>• Identify needed spare components and service coverage, then coordinate sourcing decisions to maintain equipment reliability.<br>• Review automation and equipment solutions across manufacturing areas and recommend technologies that improve performance and maintainability.<br>• Test newly developed or updated software to confirm proper operation, compliance with user needs, and alignment with established standards.<br>• Support ongoing enhancements to manufacturing processes by analyzing system behavior and implementing effective automation improvements.
<p>The Automation Process Engineer is responsible for designing, implementing, and optimizing automated manufacturing processes within a high-volume electronics assembly environment. This role focuses on improving efficiency, product quality, and system reliability through robotics, equipment integration, and continuous improvement initiatives.</p><p><br></p><p>This individual will lead automation projects end-to-end—from equipment selection and implementation to process optimization—while partnering cross-functionally with engineering, production, and controls teams.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p><strong>Automation & Equipment Engineering</strong></p><ul><li>Design, program, commission, and troubleshoot robotic and automated assembly systems (e.g., Techman, Epson, Yaskawa).</li><li>Lead the evaluation, selection, procurement, and qualification of automation equipment.</li><li>Oversee integration of robotics, material handling systems, and assembly equipment into production processes.</li><li>Partner with controls engineers to integrate PLCs, HMIs, SCADA, and MES systems.</li></ul><p><strong>Process Optimization & Continuous Improvement</strong></p><ul><li>Drive improvements in throughput, quality, and reliability across manufacturing operations.</li><li>Conduct root cause analysis (RCA) and implement corrective actions to resolve production issues.</li><li>Lead Lean Manufacturing and Six Sigma initiatives, including DOE and process optimization efforts.</li><li>Develop and implement process control measures and performance metrics.</li><li>Identify cost-saving opportunities and lead cost-reduction initiatives.</li></ul><p><strong>Maintenance & Reliability</strong></p><ul><li>Establish and improve preventive and predictive maintenance programs.</li><li>Reduce equipment downtime and improve overall system performance.</li><li>Troubleshoot complex manufacturing and automation issues.</li></ul><p><strong>Project Leadership</strong></p><ul><li>Lead automation and process improvement projects from concept through implementation.</li><li>Collaborate with product development teams to support new product introduction (NPI) and improve manufacturability.</li><li>Document processes, workflows, and system capabilities.</li></ul>
<p>We are seeking an innovative <strong>RCM AI Solutions Engineer</strong> to lead the development and implementation of AI-powered solutions that transform revenue cycle operations. This individual will identify automation opportunities, design intelligent workflows, and deploy AI-driven tools that improve efficiency, accuracy, and decision-making across the revenue cycle lifecycle. </p><p><strong> </strong></p><p><strong>What You'll Do:</strong></p><p><strong>AI Solutions Development</strong></p><ul><li>Design, build, test, and deploy AI-powered tools, agents, and workflows.</li><li>Develop custom prompts and automation solutions that streamline operational processes.</li><li>Integrate AI solutions with healthcare and business systems.</li><li>Evaluate new AI capabilities and recommend innovative applications. </li></ul><p><strong>Revenue Cycle Optimization</strong></p><ul><li>Identify opportunities to automate manual tasks and reduce administrative burden.</li><li>Improve workflows related to: </li><li>Prior Authorizations</li><li>Denial Management</li><li>Claims Follow-Up</li><li>Eligibility & Benefits Verification</li><li>Revenue Cycle Operations</li><li>Measure and monitor performance improvements resulting from AI adoption. </li></ul><p><strong>Cross-Functional Collaboration</strong></p><ul><li>Partner with operational, technology, compliance, finance, and clinical teams to deliver effective solutions.</li><li>Serve as a subject matter expert on AI tools and best practices.</li><li>Train end users and support organizational adoption of AI-powered workflows. </li></ul><p><strong>Governance & Compliance</strong></p><ul><li>Ensure adherence to healthcare regulatory requirements, privacy standards, and responsible AI practices.</li><li>Implement monitoring, quality assurance, and governance processes for AI solutions.</li><li>Maintain documentation and support ongoing optimization efforts. </li></ul>
<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>We are looking for an experienced QA Manager to lead technology initiatives and drive delivery excellence for teams based in Chicago, IL. This Long-term Contract position is ideal for a detail-oriented individual who can guide projects from planning through execution while partnering closely with business and technical stakeholders. The role requires strong leadership in Agile environments, a practical approach to risk and timeline management, and the ability to keep teams aligned on priorities and outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Lead IT projects from initiation through completion, ensuring scope, timelines, budget, and quality expectations are effectively managed.</p><p>• Facilitate Agile Scrum ceremonies, support team accountability, and help remove blockers that could affect delivery progress.</p><p>• Coordinate with cross-functional stakeholders to define project goals, establish milestones, and maintain clear communication throughout each phase.</p><p>• Use Atlassian Jira to track work, monitor progress, manage priorities, and provide accurate status reporting to leadership and project teams.</p><p>• Identify project risks, dependencies, and issues early, then develop practical mitigation plans to reduce disruption.</p><p>• Prepare and maintain project documentation, dashboards, schedules, and governance materials to support informed decision-making.</p><p>• Drive collaboration between business partners and technical teams to ensure requirements are understood and translated into actionable plans.</p><p>• Support process improvements within project delivery practices and contribute to stronger execution standards across initiatives.</p>
We are looking for a Software Quality Assurance Analyst to support application quality initiatives for a service-focused organization in Westlake, Ohio. This role centers on backend and database validation, requiring someone who can investigate issues thoroughly, work independently, and collaborate effectively with cross-functional teams. The ideal candidate brings strong manual testing expertise, a disciplined approach to prioritization, and the flexibility to succeed in a fast-moving environment.<br><br>Responsibilities:<br>• Design and carry out manual test activities for software applications, with particular emphasis on validating backend processes and database accuracy.<br>• Create, run, and refine complex SQL queries to verify data integrity, trace defects, and confirm expected system behavior.<br>• Document test scenarios, findings, and defect details clearly so development and business teams can resolve issues efficiently.<br>• Partner with stakeholders across technical and non-technical groups to clarify requirements, address ambiguities, and support shared delivery goals.<br>• Manage multiple testing assignments at once while maintaining accuracy, meeting deadlines, and adjusting to shifting priorities.<br>• Analyze unexpected system behavior, identify root causes, and recommend practical solutions that improve product quality.<br>• Contribute to quality efforts throughout the software development lifecycle, including work within Agile-based delivery environments.<br>• Support testing for applications and platforms associated with technologies such as Selenium, Zendesk, and Microsoft-based development environments when applicable.
We are looking for a Sr QA Analyst to join a long-term contract opportunity in Cincinnati, Ohio. This role is ideal for a senior quality specialist who can lead testing efforts, strengthen test practices, and introduce scalable automation while remaining hands-on with execution. The position requires someone who can work independently, communicate effectively with stakeholders, and drive progress across functional, end-to-end, and data validation activities.<br><br>Responsibilities:<br>• Lead quality assurance activities across multiple initiatives, including functional, end-to-end, regression, and data-focused testing efforts.<br>• Design comprehensive test strategies, create detailed test plans and cases, and guide execution to support timely and accurate delivery.<br>• Establish and configure automated testing frameworks, develop reusable test scripts, and expand automation where it improves speed, coverage, and repeatability.<br>• Build and maintain testing dashboards and reporting views that provide clear insight into progress, defects, risks, and overall test cycle health.<br>• Coordinate daily testing activities, prioritize work across concurrent projects, and ensure issues are escalated and resolved in partnership with project leadership.<br>• Perform hands-on validation of data conversions, including reconciliation, exception analysis, and verification of business rules across source and target datasets.<br>• Develop Python-based solutions using pandas to transform raw CSV files, automate validation checks, and produce exception reports, metrics, and audit-ready outputs.<br>• Apply data cleansing, deduplication, and integrity controls to improve data quality, including handling formatting issues, duplicate logic, and file-level inconsistencies.<br>• Collaborate closely with client and internal teams to secure required access, remove blockers, and keep testing moving efficiently to completion.<br>• Follow established quality standards, documentation practices, and artifact retention requirements while supporting both manual and automated testing as needed.
<p>We are looking for a Quality Assurance Specialist to join a manufacturing team in Carol Stream, Illinois on a long-term Contract assignment. This role focuses on inspection activities, documentation accuracy, and coordination with internal partners to help maintain product quality from supplier receipt through customer shipment. The ideal candidate is detail-oriented, comfortable working with quality records and measurements, and able to contribute to issue resolution in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Perform incoming inspection support by reviewing receiving documents, confirming quantities, processing receipt-related records, and completing basic dimensional verification on supplier parts.</p><p>• Assist with final quality checks for outbound orders to ensure shipment documentation is accurate and customer-specific requirements are satisfied before release.</p><p>• Work closely with operations, engineering, and other internal teams to identify, communicate, and help resolve product quality concerns.</p><p>• Participate in investigations related to nonconformance issues and support root cause and corrective action activities as needed.</p><p>• Maintain organized and accurate quality paperwork to support traceability, compliance, and audit readiness.</p><p>• Complete inspection activities in accordance with established procedures, specifications, and customer expectations.</p><p>• Obtain any required customer approvals or certifications needed to carry out inbound and outbound inspection duties.</p><p>• Provide coverage and backup support for other quality team members when priorities shift or additional inspection capacity is needed.</p>
<p>We are looking for a Level 2 QA Analyst to support privacy and website compliance initiatives in Southern California. This is a Long-term Contract position focused on ensuring applications, workflows, and data-handling practices align with regulatory expectations and internal quality standards. The role works closely with business, legal, compliance, and technology stakeholders to assess requirements, coordinate testing efforts, and confirm that privacy-focused solutions are delivered accurately and reliably.</p><p><br></p><p>Responsibilities:</p><p>• Build and carry out test strategies, test plans, and detailed test cases to evaluate privacy-related business and system requirements.</p><p>• Verify that consent management processes, data subject request workflows, and handling of sensitive information function as intended and meet compliance expectations.</p><p>• Perform functional, integration, and user acceptance testing for website and privacy compliance initiatives, documenting outcomes clearly.</p><p>• Record, prioritize, and monitor defects through resolution while partnering with cross-functional teams to address root causes and retesting needs.</p><p>• Produce QA artifacts such as traceability matrices, validation reports, test evidence, and defect summaries to support compliance reviews and audit readiness.</p><p>• Maintain end-to-end traceability between requirements, test scenarios, execution results, and final validation status.</p><p>• Review business and regulatory requirements to identify gaps, improve testability, and confirm complete test coverage.</p><p>• Communicate testing progress, quality risks, compliance concerns, and critical issues to stakeholders, including recommendations for mitigation.</p><p>• Assess opportunities to strengthen QA processes, reporting practices, and repeatable automation for compliance-focused testing activities.</p>
<p>We are looking for a QA Analyst to support the testing of connected vehicle platforms, digital products, and mobile IoT applications. This role will be responsible for validating customer-facing applications and services across vehicle platforms, ensuring quality throughout the software development lifecycle for both new product development and in-market support initiatives.</p><p>The ideal candidate will have strong experience in software testing, system analysis, mobile application testing, and defect management within Agile environments. This position requires collaboration with cross-functional teams to identify issues, validate solutions, and ensure seamless performance of connected vehicle technologies and digital experiences.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Test connected vehicle platforms, digital products, mobile applications, and IoT services across vehicle programs and releases.</p><p>· Execute functional, integration, regression, and end-to-end testing activities for web, mobile, and embedded systems.</p><p>· Analyze system requirements, business requirements, and data flows to develop effective test strategies and test cases.</p><p>· Identify, document, track, and validate defects using Jira and related defect management tools.</p><p>· Support software releases within CI/CD environments and validate deployments across multiple testing stages.</p><p>· Perform mobile application testing for both iOS and Android platforms.</p><p>· Collaborate with development, product, engineering, and business stakeholders across multiple teams and regions.</p><p>· Support API and database validation activities to ensure data accuracy and system reliability.</p><p>· Participate in Agile ceremonies and contribute to continuous quality improvement initiatives.</p>
<p>Robert Half is continuously seeking talented professionals who are ready to take the next step in their careers. This ongoing opportunity is ideal for individuals who want to stay connected with our team and be considered for current and upcoming roles that align with their skills, experience and career goals. If you are motivated, adaptable and eager to explore new possibilities, we encourage you to apply and start the conversation with our team.</p><p><strong> </strong></p><p>Key Responsibilities:</p><p>· Design, build, and deploy AI and ML solutions for various business applications</p><p>· Collaborate with data scientists, analysts, and business stakeholders to define project requirements and deliver impactful results</p><p>· Optimize and tune algorithms for accuracy, scalability, and performance</p><p>· Stay current with advancements in machine learning, deep learning, and related technologies</p><p>· Communicate findings and recommendations transparently to technical and non-technical teams</p>
<p>Full-time position; 6-month onboarding period before permanent conversion (Contract-To-Permanent).</p><p>First 30 days ONSITE, then becomes HYBRID schedule (3/2).</p><p>Compensation $65-75/hour during onboarding period; Conversion salary $115-125K. <em>*Medical benefits are 100% covered at conversion*</em></p><p> </p><p><strong>Top Skills Looking For</strong></p><ul><li>Python based ML experience</li><li>Experience w/ Machine Learning frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras.</li><li>Experience w/ LLM frameworks (LangChain, Ollama, vector DBs, RAG pipelines)</li></ul><p><strong>Duties & Responsibilities</strong></p><ul><li>Develop, train, and optimize machine learning models using frameworks such as ML.NET, Scikit-Learn, TensorFlow, PyTorch, or Keras</li><li>Integrate artificial intelligence (AI) models into existing in-house applications and services running in secure on-prem environments</li><li>Experiment with large language models (LLMs) and agentic coding tools, evaluating their potential for secure, internal automation and analytics tasks</li><li>Perform data preprocessing, feature engineering, and model evaluation using structured and unstructured data from multiple internal systems</li><li>Collaborate with cross-functional teams to ensure all models and data workflows align with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) protection standards</li><li>Work closely with analysts, investigators, and Information Technology (IT) staff to identify opportunities where AI can provide operational value</li><li>Participate in code reviews, testing, and deployment activities within a collaborative team environment</li><li>Continuously learn and prototype emerging AI tools while maintaining strong data governance discipline</li></ul>
<p><strong>SDET (Automated; Java/Python)</strong></p><p><strong>Location: Hybrid 4x/week in Philadelphia, PA</strong></p><p><strong>Duration: Through 12/31/2026, extensions likely</strong></p><p><br></p><p>This senior-level Software Development Engineer in Test (SDET) role focuses on designing, building, and maintaining automated testing solutions that support high-volume consumer technology platforms. The position works closely with engineering teams in a distributed global environment and emphasizes strong coding skills, automation expertise, CI/CD integration, and AI-assisted testing practices. The ideal candidate brings a blend of software development and quality engineering experience, with the ability to contribute to both automated and functional testing efforts.</p><p><br></p><p><strong>Responsibilities</strong>:</p><ul><li>Build, maintain, and enhance automated test frameworks and test scripts</li><li>Execute both functional and automated testing across device and platform applications</li><li>Develop and support automation solutions using modern testing frameworks and scripting languages</li><li>Collaborate with engineering and QA teams across globally distributed environments</li><li>Participate in development-related activities and partner closely with software engineers</li><li>Integrate automated testing into CI/CD and deployment pipelines</li><li>Leverage AI tools and workflows to improve testing and engineering efficiency</li><li>Troubleshoot defects, test failures, and release-related issues</li><li>Support software releases and contribute to product quality, stability, and faster delivery cycles</li></ul>
<p><strong>Quality Assurance Analyst (SDET) III – Contract</strong></p><p><strong>Employment Type:</strong> 38 Week Contract, Potential for Extension</p><p><strong>Location:</strong> <em>Philadelphia, PA (Hybrid 4x onsite weekly) </em></p><p><strong>Pay: </strong>Available on W2</p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Quality Assurance Analyst (SDET) III</strong> to support automated testing, QA strategy, and high‑quality software delivery within a collaborative Agile environment. This role is ideal for a hands‑on QA professional with deep experience in test automation, Python scripting, Java QA, API testing, and continuous integration tools.</p><p><strong>Key Responsibilities</strong></p><ul><li>Establish testing milestones, monitor progress, identify delivery risks, and drive mitigation strategies.</li><li>Develop and execute test cases, use cases, and automated scripts using Python for Java middleware development.</li><li>Test RESTful services, JSON payloads, and APIs; work with tools such as Jenkins, Splunk, Swagger, and other CI/CD systems.</li><li>Define and execute business scenarios that align with real-world operational needs.</li><li>Track and report quality assurance metrics (defects, defect counts, test results, and overall test status).</li><li>Collect and analyze data to support software process improvements and incorporate enhancements into broader business workflows.</li><li>Create and execute formal test plans; perform test planning, test case writing, test automation, and manual/automated test execution.</li><li>Document defects, support troubleshooting, and assist in resolution efforts.</li><li>Provide training and act as an internal quality consultant for technical teams.</li><li>Conduct quality audits across IT teams to ensure adherence to established quality standards, processes, and methodologies.</li></ul>
We are looking for an Azure Systems Engineer to support and enhance a hybrid infrastructure environment in Houston, Texas. This role focuses on maintaining secure, reliable identity and server platforms while helping users and business teams stay productive. The ideal candidate brings strong experience across Microsoft technologies and can manage core systems with a proactive, service-oriented approach.<br><br>Responsibilities:<br>• Administer and optimize Active Directory and Azure Active Directory environments to support secure access and identity management.<br>• Maintain, troubleshoot, and improve Microsoft Windows Server platforms to ensure strong performance, availability, and system health.<br>• Support Citrix-based solutions by resolving technical issues, monitoring stability, and enhancing the end-user experience.<br>• Manage Microsoft Exchange environments, including configuration, maintenance, and issue resolution for messaging services.<br>• Implement system updates, patches, and configuration changes while following operational and security standards.<br>• Investigate infrastructure incidents, identify root causes, and deliver timely resolutions to minimize service disruptions.<br>• Collaborate with cross-functional teams on infrastructure improvements, platform upgrades, and environment standardization.<br>• Create and maintain clear technical documentation for system configurations, procedures, and support activities.
<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>An Oklahoma City based client is seeking an innovative Senior AI Engineer to help design and deliver AI-powered solutions that proactively solve business challenges. In this role, you will be responsible for building, deploying, and supporting intelligent systems such as AI agents, copilots, retrieval-augmented generation (RAG) systems, and machine learning solutions. The team is composed of professionals across software engineering, quality assurance, data engineering, and AI, working together to create, maintain, and scale intelligent multi-platform solutions. Company offers a 401K match and an ESOP. Position is a hybrid role for those who live in the Oklahoma City area.</p><p><br></p><p>Responsibilities:</p><p>• Design solutions for the end user.</p><p>• Design and implement intelligent agents, copilots, and AI workflows.</p><p>• Build and support production RAG systems and enterprise knowledge solutions.</p><p>• Evaluate and improve AI system quality, reliability, and effectiveness.</p><p>• Collaborate with Data Engineering and Software Engineering teams to operationalize AI solutions.</p><p>• Implement AI observability, testing, and evaluation frameworks.</p><p>• Partner with Product teams to determine the technical feasibility of AI initiatives.</p><p>• Write reliable, well-structured, and tested systems in a CI/CD environment.</p><p>• Design and implement best practices for AI engineering and agent development.</p><p>• Analyze business processes and identify opportunities for AI-driven automation.</p><p><br></p>
We are looking for an experienced Artificial Intelligence (AI) Engineer to establish and lead a secure, scalable internal AI platform in San Francisco, California. This role will shape the technical foundation for enterprise AI adoption by creating development standards, deployment practices, and governance controls that support reliable use across the organization. The position works closely with technology, security, and business teams to help both technical and non-technical users build, launch, and manage AI-powered solutions responsibly.<br><br>Responsibilities:<br>• Design, implement, and support the organization’s internal AI platform, with a primary focus on Azure-based environments, tools, and supporting infrastructure.<br>• Create and manage automated delivery workflows for AI applications, ensuring code is tested, versioned, and promoted through environments efficiently.<br>• Establish policies and technical controls that guide secure, compliant, and responsible use of AI across enterprise teams.<br>• Enable developers and business users to create AI-driven solutions by providing practical frameworks, tooling, and support for modern AI-assisted development environments.<br>• Lead the release and production rollout of AI solutions, overseeing readiness, deployment standards, and operational stability.<br>• Work closely with IT, security, and business stakeholders to encourage adoption, clarify proper usage, and align AI capabilities with organizational needs.<br>• Maintain platform health by managing access controls, monitoring performance, and improving development standards for scalable AI delivery.<br>• Coordinate with external consultants and partners to help execute AI initiatives and advance the broader platform roadmap.<br>• Produce clear documentation for workflows, technical standards, and best practices to support continued growth in enterprise AI usage.
<p>Opening for an early career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation.</p><p>You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment.</p><p> </p><p>Primary Responsibilities</p><ul><li>Amazon Connect application development and configuration: </li><li>Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.</li><li>Integrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.</li><li>Enable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.</li><li>Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.</li><li>Implement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.</li><li>AI orchestration and backend services: </li><li>Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.</li><li>Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.</li><li>Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.</li><li>Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards.</li><li>Data safety and compliance: </li><li>Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy.</li><li>Enforce PII minimization and redaction policies in Amazon Connect conversation logs.</li><li>Participate in threat modeling and support remediation of findings for contact center integrations.</li><li>Web and chat integration: </li><li>Support CloudFront + WAF configurations for secure web chat entry points.</li><li>Build APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.</li><li>DevSecOps and operations: </li><li>Contribute to Git-based CI/CD pipelines, code reviews, and documentation.</li><li>Maintain runbooks, architecture diagrams, and SOPs for contact flows, bot integrations, and AI workflows.</li><li>Create and monitor CloudWatch dashboards/alarms for call deflection rate, average handle time (AHT), contact resolution, and AI usage metrics.</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.