<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>
<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 a Senior Automation Engineer with strong expertise in <strong>Playwright</strong> and <strong>TypeScript</strong> to drive test automation efforts across modern software products in a regulated environment. This role will serve as the automation SME within Agile product teams, developing scalable automation solutions and supporting quality throughout the software development lifecycle.</p><p>Responsibilities</p><ul><li>Design, develop, and maintain automated tests using Playwright and TypeScript.</li><li>Build UI, API, integration, regression, and end-to-end test automation.</li><li>Enhance and maintain enterprise automation frameworks and reusable test components.</li><li>Develop API and integration tests for complex workflows and data flows.</li><li>Support automated testing within CI/CD pipelines (GitLab CI preferred).</li><li>Troubleshoot automation failures and optimize test execution.</li><li>Collaborate with Product Owners, Developers, QA, and business stakeholders.</li><li>Participate in Agile ceremonies, code reviews, and quality initiatives.</li><li>Ensure compliance with validation, quality, and documentation standards.</li></ul><p>Benefits</p><ul><li>Competitive salary up to $120,000 USD</li><li>Bonus opportunities</li><li>Medical and dental coverage</li><li>Paid time off</li><li>Retirement savings plan</li><li>Professional development support</li><li>Fully remote within North America</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p>We are looking for a Quality Assurance Tester to support software quality initiatives for focused applications. This contract opportunity is ideal for a hands-on testing specialist who can build and execute effective test strategies while working across technical environments that include C#/.NET and Node.js. The role will focus on identifying defects, validating application changes, and helping ensure reliable system performance through structured testing and clear documentation.</p><p><br></p><p>Responsibilities:</p><p>• Create and carry out detailed test approaches, cases, and scripts to evaluate application behavior and uncover issues before release.</p><p>• Assess new features, updates, and system changes to confirm readiness for deployment and reduce production risk.</p><p>• Develop testing coverage for functional workflows, database interactions, usability considerations, and application performance scenarios.</p><p>• Record defects in a tracking system with clear reproduction steps, supporting evidence, and impact details for development teams.</p><p>• Investigate inconsistencies in program output, on-screen behavior, and content accuracy to isolate root causes and document findings.</p><p>• Follow defect remediation progress, verify fixes, and report on testing outcomes to stakeholders throughout the project lifecycle.</p><p>• Maintain organized records of known issues, test results, and quality metrics to support efficient regression testing.</p><p>• Coordinate testing timelines and priorities in alignment with project scope, release schedules, and delivery milestones.</p>
<p>We are hiring an <strong>AI Solutions Engineer</strong> to implement AI-driven tools and integrate them into business systems.</p><p>Key Responsibilities:</p><ul><li>Integrate AI models into production applications</li><li>Support deployment of AI tools and APIs</li><li>Work with engineering and product 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>
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>Our company is seeking an innovative and driven AI/ML Engineer to join our technology team in St. Louis, Missouri. If you enjoy developing machine learning models and leveraging AI to solve real business challenges, we invite you to apply.</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>
We are looking for an Azure Systems Engineer to support and enhance enterprise infrastructure in Houston, Texas. This role focuses on maintaining secure, reliable Microsoft-based environments across cloud and on-premises platforms while helping teams resolve complex system issues. The ideal candidate brings strong experience with directory services, server administration, and end-user platform support, along with a practical approach to improving stability and performance.<br><br>Responsibilities:<br>• Administer and optimize Azure Active Directory and on-premises Active Directory services to support secure identity and access management.<br>• Maintain Microsoft Windows Server environments, including configuration, patching, performance monitoring, and troubleshooting.<br>• Support Citrix infrastructure to ensure dependable virtual application and desktop delivery for business users.<br>• Manage Microsoft Exchange environments and assist with mail flow, account administration, and issue resolution.<br>• Investigate and resolve system-level incidents, working across cloud and server platforms to minimize downtime and service disruption.<br>• Implement security and operational best practices for core infrastructure components, including user authentication and server hardening.<br>• Collaborate with internal technology teams on infrastructure improvements, upgrades, and platform-related changes as needed.
We are looking for an Azure DevOps Engineer II to support engineering teams by streamlining software delivery, strengthening code quality, and improving the reliability of cloud-based development workflows. This Long-term Contract position is fully remote and requires availability during East Coast business hours, with the role based in Providence, Rhode Island. The ideal candidate brings strong software development experience in .NET, C#, or Java, along with deep hands-on knowledge of Azure services, API development, automation, and modern DevOps practices.<br><br>Responsibilities:<br>• Partner with technical leads and software engineers to evaluate current development and release workflows and recommend practical improvements that increase efficiency and reliability.<br>• Analyze recurring delays or friction points across coding, testing, deployment, and support processes, then implement solutions that remove obstacles for development teams.<br>• Design and maintain automation for build, deployment, and infrastructure management using infrastructure-as-code and other DevOps tooling.<br>• Support cloud environments by performing routine operational checks, monitoring system health, tracking capacity concerns, and sharing status updates with stakeholders.<br>• Deploy application components and services to the appropriate environments while following established standards for stability, security, and consistency.<br>• Build and refine engineering standards, reusable processes, and scripts that help teams deliver code more quickly and with fewer errors.<br>• Work closely with developers and other technical partners to gather feedback on pain points and translate those insights into actionable platform improvements.<br>• Contribute to the administration, configuration, and troubleshooting of cloud platforms, containerized workloads, and supporting services across modern environments.<br>• Collaborate with the broader DevOps function to deliver cohesive solutions for CI/CD, observability, and platform operations across the organization.
<p><strong>Quality Assurance Engineer II</strong></p><p><strong>Employment Type:</strong> 28 Week Contract, Potential for Extension or Conversion </p><p><strong>Location:</strong> Philadelphia, PA Onsite/Hybrid</p><p><strong>Pay: </strong>Available on W2</p><p><strong>Position Overview</strong></p><p>Seeking a Quality Assurance Engineer II to support testing and inspection activities across product and process lifecycles. This role is responsible for ensuring quality standards are met through structured testing models, analysis, and adherence to established procedures.</p><p>The ideal candidate will have foundational experience in quality assurance, attention to detail, and the ability to work effectively within established guidelines in a team-oriented environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Perform inspections and quality assurance testing on <strong>raw materials, in-process items, and finished products</strong></li><li>Execute established <strong>testing models and procedures</strong> to ensure product quality and consistency</li><li>Assist in identifying defects, inconsistencies, and areas for improvement</li><li>Document testing results, findings, and quality metrics accurately</li><li>Support the development and refinement of <strong>quality assurance processes and standards</strong></li><li>Collaborate with cross-functional teams to address quality-related issues</li><li>Follow established guidelines and instructions to complete assigned tasks</li><li>Contribute to maintaining compliance with quality standards and internal requirements</li></ul>
<p>Our client is seeking an AI Engineer to design, develop, and deploy AI-powered applications that drive business value and operational efficiency. This individual will work closely with software engineering, data, and business teams to build scalable machine learning and generative AI solutions.</p><p>Responsibilities</p><ul><li>Design, develop, and deploy machine learning and generative AI solutions.</li><li>Build and maintain AI/ML pipelines for model training, testing, and production deployment.</li><li>Integrate AI capabilities into enterprise applications and business workflows.</li><li>Develop and optimize prompts, agents, and retrieval-augmented generation (RAG) solutions.</li><li>Collaborate with cross-functional teams to identify AI use cases and deliver business outcomes.</li><li>Monitor model performance and continuously improve accuracy and reliability.</li></ul><p><br></p>
<p>We are seeking an <strong>AI/ML Engineer</strong> to build, deploy, and scale machine learning models that drive real-world business solutions. This role focuses on taking models from development to production.</p><p>Key Responsibilities:</p><ul><li>Design, build, and deploy machine learning models in production environments</li><li>Develop and manage data pipelines to support model training and inference</li><li>Collaborate with data scientists, engineers, and business stakeholders</li><li>Optimize model performance, scalability, and reliability</li><li>Monitor deployed models and continuously improve performance</li><li>Implement best practices for versioning, testing, and model lifecycle management</li><li>Work with large and complex datasets to extract meaningful insights</li></ul><p><br></p>
<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>
<p><strong>AI Lead Engineer</strong></p><p><br></p><p><strong>Skills:</strong></p><p>• Proactive self-starter with excellent interpersonal, communication, and customer service skills.</p><p>• Expert-level AI/ML and full-stack development skills, with strong hands-on experience building and integrating backend services and frontend applications using modern frameworks such as Node.js and React. Strong emphasis on clean, maintainable, reproducible, well-tested, and well-documented code.</p><p>• Ability to manage multiple tasks and projects simultaneously.</p><p>• Collaborative team player with a focus on achieving common goals.</p><p>• Meticulous attention to detail.</p><p>• Quick learner with a passion for staying current with emerging technologies and industry trends.</p>
<p>We are looking for an AI Software Engineer to help design, build, and deploy AI-driven solutions that improve production, quality, and operational efficiency. You’ll work closely with engineering, operations, and data teams to identify high‑value use cases and turn them into scalable, real-world solutions.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Develop and deploy AI/ML models for manufacturing use cases (predictive maintenance, quality inspection, process optimization)</li><li>Work with sensor, production, and ERP data to build actionable insights</li><li>Collaborate with cross‑functional teams to move ideas from concept to production</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>Experience with Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn)</li><li>Strong software engineering fundamentals and experience deploying models to production</li><li>Interest or background in manufacturing, industrial systems, or operational data</li></ul><p><br></p>
<p><strong>Job Title</strong></p><p>Senior Artificial Intelligence (AI) Solutions Architect</p><p><br></p><p><strong>Company Overview</strong></p><p>A forward-thinking organization in the consumer products and retail sector, based in Los Angeles, CA, is investing heavily in artificial intelligence to transform business operations and drive innovation. The company is focused on building scalable, AI-enabled systems that enhance efficiency, decision-making, and customer experiences. With a strong commitment to technological advancement, it fosters a collaborative environment where new ideas and AI-driven initiatives are encouraged.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior AI Solutions Architect will serve as a key technical leader responsible for designing, building, and scaling enterprise-grade AI systems. Based in Los Angeles, CA, this role partners closely with senior leadership to translate business needs into robust AI solutions while driving technical execution. This position combines hands-on engineering with strategic influence, shaping the organization’s AI roadmap and enabling broader adoption across teams.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Architect and deploy scalable AI systems, integrations, and enterprise-grade solutions</li><li>Design and implement AI orchestration workflows, including agent-based and context-aware systems</li><li>Develop and manage LLM-powered applications and integrations across business platforms</li><li>Partner with cross-functional stakeholders to identify AI opportunities and drive measurable business impact</li><li>Establish governance, best practices, and standards for AI workflows and system architecture</li><li>Lead integration efforts across enterprise platforms such as ERP, HRIS, and supply chain systems</li><li>Contribute to AI strategy and roadmap development alongside senior technology leadership</li><li>Mentor and guide engineers, fostering technical excellence and best practices</li><li>Promote AI adoption through internal education, advocacy, and knowledge sharing</li><li>Evaluate emerging tools and technologies to continuously enhance AI capabilities and scalability</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$190,000 - $200,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive medical, dental, and vision coverage</li><li>Competitive benefits and employee-focused perks</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>Leadership-track opportunity with clear growth into senior technology leadership</li><li>Highly visible role with direct impact on enterprise AI strategy and execution</li></ul>
<p>Robert Half is hiring! We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent capabilities that strengthen a SaaS product within the finance consulting space. This position partners with product, data, and engineering teams to turn business needs into practical AI and machine learning solutions. The ideal candidate brings strong hands-on experience with production ML systems, a thoughtful approach to scalable architecture, and a focus on building features that improve user outcomes and operational efficiency.</p><p><br></p><p><strong>The best candidate for this role is someone that is still a hands on coder. We are looking for back end software engineers that also have skills and a passion for AI. </strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.</p><p>• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.</p><p>• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.</p><p>• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.</p><p>• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.</p><p>• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.</p><p>• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.</p><p>• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.</p><p>• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.</p>
<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.</p><p>• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.</p><p>• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.</p><p>• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.</p><p>• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.</p><p>• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.</p><p>• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.</p><p>• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.</p><p>• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.</p><p>• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.</p>
<p><strong>Role Overview</strong></p><p>We are looking for a highly skilled <strong>Email Automation Specialist</strong> for a 3–6 month contract with a dynamic client based in Atlanta. This role is built for a marketing operations professional who excels at building, deploying, and optimizing sophisticated lifecycle campaigns and automated workflows. You will take ownership of the technical execution of marketing campaigns, ensuring precise audience targeting and flawless delivery.</p><p>The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.</p>
<p>We are looking for a meticulous and detail-oriented Quality Audit Analyst to join our team. In this contract role, you will play a key part in ensuring accuracy and quality within the Enrollment Employer Installation division of a leading healthcare organization. Your work will focus on conducting audits, analyzing trends, and providing actionable feedback to improve processes and performance.</p><p><br></p><p>Responsibilities:</p><p>• Conduct thorough audits of enrollment forms submitted by customers to ensure accuracy and compliance.</p><p>• Analyze audit results to identify trends and create detailed reports for performance improvement.</p><p>• Develop, maintain, and track performance-related reports to monitor progress and quality standards.</p><p>• Perform quality reviews of new and updated benefit plans to verify proper setup and accuracy.</p><p>• Document all audit findings and work performed based on established guidelines and standards.</p><p>• Provide constructive feedback to teams to minimize errors and enhance operational processes.</p><p>• Collaborate with internal and external stakeholders to address quality concerns and implement solutions.</p><p>• Support additional tasks and projects as assigned to meet organizational goals</p>
We are looking for an AV Systems Design Engineer to join a team in Georgia on a contract-to-permanent basis. This position is ideal for someone who can lead the full development of audiovisual solutions, from early design planning and technical documentation through final system testing and handoff. The role combines engineering precision, client-focused solution design, and hands-on validation to ensure each deployment meets performance and quality expectations.<br><br>Responsibilities:<br>• Create complete audiovisual system designs, including equipment selection, scope definition, labor estimates, and pricing support.<br>• Develop clear 2D technical drawings and maintain accurate system documentation for installation and delivery teams.<br>• Guide projects through the full engineering lifecycle, from concept development and design refinement to final commissioning.<br>• Configure, test, and verify AV systems before turnover to confirm functionality, reliability, and readiness for use.<br>• Work with established AV technology platforms such as Q-SYS, Biamp, Crestron, and Extron to support integrated solution design.<br>• Partner with internal teams and stakeholders to align technical design decisions with project goals, timelines, and operational needs.<br>• Identify design issues early, troubleshoot system performance concerns, and recommend practical technical improvements.<br>• Support quoting and bill-of-material creation to ensure proposed solutions are accurate, scalable, and commercially aligned.
<p><strong>Job Title</strong></p><p>AI DevOps Engineer</p><p><br></p><p><strong>Company Overview</strong></p><p>A well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth.</p><p><br></p><p><strong>Role Summary</strong></p><p>The AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement CI/CD pipelines for AI applications and services</li><li>Build and manage scalable AI deployment frameworks and infrastructure</li><li>Establish best practices for AI operations, including monitoring, reliability, and cost optimization</li><li>Automate infrastructure provisioning and configuration using modern DevOps tools</li><li>Develop observability solutions to ensure high system performance and uptime</li><li>Implement secure deployment practices and maintain strong access controls</li><li>Operationalize AI platforms and integrate them into business workflows</li><li>Collaborate with cross-functional teams to identify opportunities for AI-driven scaling</li><li>Educate internal stakeholders on AI capabilities, tools, and operational best practices</li><li>Contribute to long-term infrastructure and AI platform strategy</li></ul><p><strong>Compensation & Benefits</strong></p><ul><li>$160,000 - $185,000 with discretionary bonus</li><li>Annual bonus eligibility</li><li>Comprehensive health benefits including medical, dental, and vision coverage</li><li>Additional perks and employee-focused programs</li></ul><p><strong>Additional Details</strong></p><ul><li>Hybrid work model (onsite four days per week, remote flexibility one day per week)</li><li>High-impact role with visibility across technical and business teams</li><li>Opportunity to help build and scale AI operations within a growing organization</li></ul>
<p>A growing organization within the pharma /healthcare warehousing space is seeking a hands-on <strong>Quality Assurance Manager </strong>to lead quality, regulatory, and safety programs across regulated warehousing, fulfillment, and production environments supporting healthcare and consumer clients.</p><p><br></p><p>This role partners closely with executive leadership and operations to ensure regulatory compliance, audit readiness, and scalable quality systems while balancing business needs with regulatory requirements.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead enterprise-wide Quality Assurance and Compliance programs</li><li>Ensure compliance with FDA, DEA, OSHA, cGMP, and client-specific requirements</li><li>Own client, regulatory, and internal audits from preparation through resolution</li><li>Manage CAPA programs, investigations, and effectiveness reviews</li><li>Oversee temperature-controlled operations, excursion management, and validation</li><li>Ensure inventory integrity, traceability, lot control, and recall readiness</li><li>Maintain licenses, certifications, and audit readiness</li><li>Drive SOP governance, document control, and training compliance</li><li>Lead warehouse safety and compliance initiatives</li><li>Partner cross-functionally to identify and mitigate operational risk</li><li>Promote a collaborative, solutions-oriented quality culture</li></ul><p><br></p>
We are looking for a Quality Assurance Manager to lead quality programs for a manufacturing operation in Dallas, Texas. This role will oversee quality systems, guide audit readiness, and strengthen compliance practices across the facility while partnering with cross-functional teams to improve product performance and process consistency. The ideal candidate brings strong leadership, hands-on knowledge of recognized quality standards, and the ability to drive continuous improvement through practical, data-informed decision-making.<br><br>Responsibilities:<br>• Lead the quality function by supervising technicians and related staff, setting priorities, and ensuring daily activities support production and customer expectations.<br>• Establish annual quality objectives that support broader business priorities and translate them into measurable departmental plans.<br>• Administer and sustain certification efforts for key management standards, including ISO 9001, ISO 14001, and ISO 18001, while maintaining compliance with documented quality processes.<br>• Deliver training and guidance that helps employees understand quality procedures, system requirements, and their role in maintaining standards.<br>• Direct investigations related to customer complaints, warranty concerns, returns, and internal nonconformances, ensuring corrective and preventive actions are completed effectively.<br>• Partner with teams across the organization to create, refine, and maintain process documentation, operating procedures, and quality records.<br>• Plan and conduct internal audits, document findings, close out observations, and prepare the organization for external audits and certification reviews.<br>• Develop and monitor supplier quality performance metrics, collaborate with purchasing on scorecards, and build strong working relationships with suppliers to improve results.<br>• Support new product launches and product modifications by confirming that required quality characteristics, controls, and compliance expectations are met.<br>• Provide quality-focused direction to production operations while reinforcing safe, efficient, and consistent manufacturing practices.