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107 results for Qa Automation Engineer jobs

GenAI CCaaS Engineer

Washington, DC
onsite
Temporary / Contract
50 - 54 USD / Hourly
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.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. Primary Responsibilities<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>
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Monroe, NY
onsite
Permanent / Full Time
150000 - 225000 USD / Yearly
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. Key Responsibilities: <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>
2026-07-23T00:00:00Z

Artificial Intelligence (AI) Engineer

Tampa, FL
onsite
Temporary to Hire
0 - 0 USD / Yearly
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. Responsibilities: • Build, train, and refine machine learning models using frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Keras. • Integrate AI-driven solutions into existing on-premises applications to enhance functionality and performance. • Explore and experiment with large language models (LLMs) and agent-based coding tools to optimize internal automation and analytics workflows. • Process, engineer, and evaluate data from diverse internal sources, including structured and unstructured datasets. • Collaborate with teams across departments to ensure compliance with Criminal Justice Information Systems (CJIS) and Personally Identifiable Information (PII) standards. • Partner with analysts, investigators, and IT staff to identify opportunities where AI can provide operational improvements. • Participate in coding reviews and testing processes to ensure high-quality deliverables. • Stay updated on emerging AI technologies and prototype new tools while adhering to data governance standards. • Contribute to the continuous improvement of AI systems and processes by identifying areas for innovation and optimization.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

West Palm Beach, FL
onsite
Permanent / Full Time
180000 - 220000 USD / Yearly
We are looking for an Artificial Intelligence (AI) Engineer to create and scale enterprise AI solutions in West Palm Beach, Florida. This role focuses on building production-ready applications and shared AI services across cloud environments, with an emphasis on reliability, security, and measurable business value. The ideal candidate will combine strong engineering expertise with practical experience in large language models, automation, and system integration to advance research, knowledge management, and operational efficiency. Responsibilities: • Create, implement, and launch enterprise AI applications using Amazon Web Services and related cloud technologies. • Develop scalable AI infrastructure with services such as Amazon Bedrock, SageMaker, EC2, S3, Lambda, API management tools, orchestration services, and monitoring platforms. • Architect AI environments that prioritize security, resilience, performance, and cost control for enterprise use cases. • Build and support reusable AI capabilities that can be adopted across multiple business applications and future informatics efforts. • Engineer solutions powered by large language models, retrieval-augmented generation, AI agents, and contemporary AI development frameworks. • Deliver intelligent assistants, enterprise and semantic search tools, knowledge management capabilities, and document understanding solutions. • Design AI-driven automation that improves workflows and streamlines day-to-day business operations. • Integrate AI platforms with Microsoft and enterprise technologies, including Azure OpenAI, Microsoft 365 Copilot, Copilot Studio, SharePoint Online, Microsoft Teams, and Microsoft Graph. • Develop APIs and connected services that link AI platforms with scientific applications, cloud ecosystems, and business systems. • Contribute to AI governance, lifecycle management, observability, and the evaluation of emerging technologies while helping define enterprise standards and best practices.
2026-07-08T00:00:00Z

Artificial Intelligence (AI) Engineer

Raleigh, NC
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
AI Lead Engineer Skills:• Proactive self-starter with excellent interpersonal, communication, and customer service skills.• 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.• Ability to manage multiple tasks and projects simultaneously.• Collaborative team player with a focus on achieving common goals.• Meticulous attention to detail.• Quick learner with a passion for staying current with emerging technologies and industry trends.
2026-07-20T00:00:00Z

Artificial Intelligence (AI) Engineer

Tulsa, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Tulsa based company is looking for an AI Engineer. You will help shape the future of intelligent automation and enterprise technology by developing AI-driven solutions that improve operational efficiency, enhance customer experience, and support large-scale managed services environments. In this role, you will work closely with Automation Engineers to design, develop, and implement AI models and algorithms that strengthen service offerings, expand automation capabilities, and support scalable enterprise solutions. You will also collaborate cross-functionally with engineering, operations, and technology teams to identify opportunities for AI-driven improvements and business innovation. If you enjoy working in fast-paced environments and are excited by emerging technologies and partnering across teams, please apply today. Key Responsibilities<ul><li>Develop and deploy AI models and algorithms to solve business challenges</li><li>Partner with Automation Engineers to integrate AI solutions into existing systems and workflows</li><li>Analyze, clean, and preprocess data to ensure quality and relevance for AI applications</li><li>Research and evaluate emerging AI technologies, including generative AI and machine learning solutions, to support innovation</li><li>Contribute to the testing, evaluation, and adoption of generative AI and large language model (LLM) technologies</li><li>Help build scalable AI workflows and integrate AI capabilities into enterprise systems and operational processes</li><li>Deliver reliable, effective AI solutions that support high levels of customer satisfaction</li><li>Document AI processes and maintain accurate records of model development, testing, and deployment</li><li>Support AI solutions designed for large-scale enterprise environments across industries such as retail, healthcare, finance, utilities, and energy</li></ul>
2026-07-17T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary / Contract
43.5385 - 55.25 USD / Hourly
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. Responsibilities:• Design and develop AI-driven applications that combine machine learning models, large language models, and backend services for production use.• Create prompt frameworks, retrieval approaches, and context-handling strategies that improve the relevance and reliability of AI-generated outputs.• Build intelligent agents and automated workflows that support business processes and interact effectively with enterprise data sources.• Integrate tools such as TensorFlow, vector databases, and orchestration frameworks to support scalable AI and computer vision solutions.• Measure model and system effectiveness by monitoring accuracy, latency, stability, and overall operational performance.• Improve deployed solutions through performance tuning, cost optimization, and troubleshooting across cloud-based environments.• Collaborate with product, engineering, and user experience teams to deliver AI features that align with business goals and user needs.• Contribute reusable components, shared services, and engineering best practices that strengthen the broader AI platform.• Support detection and computer vision use cases where image-based analysis and machine learning capabilities are required.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Knoxville, TN
remote
Permanent / Full Time
0 - 0 USD / Yearly
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. 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. Responsibilities:• Create and launch AI and machine learning solutions that support product functionality, workflow automation, and data-driven decision-making across the platform.• Build end-to-end ML workflows that cover data preparation, feature development, model training, validation, deployment, and ongoing performance oversight.• Collaborate with product managers, software engineers, and data professionals to identify high-impact use cases for intelligent automation and advanced analytics.• Develop generative AI applications such as content summarization, recommendation engines, classification tools, and agent-based experiences while balancing response speed, quality, and operating cost.• Connect trained models to cloud-based production environments through APIs, service-oriented components, and containerized deployment patterns.• Assess external AI platforms, libraries, and vendor solutions to determine their value for product enhancement and engineering productivity.• Apply responsible AI practices by supporting model stability, bias awareness, data privacy, and security expectations throughout the development lifecycle.• Maintain clear technical documentation, structured experiment records, and repeatable development processes that support transparency and collaboration.• Track emerging trends in machine learning, large language models, and SaaS engineering to recommend improvements to tools, architecture, and delivery methods.
2026-07-15T00:00:00Z

Artificial Intelligence (AI) Engineer

Atlanta, GA
onsite
Temporary to Hire
43.7 - 55.25 USD / Hourly
We are looking for an Artificial Intelligence (AI) Engineer to create advanced generative AI and agent-driven solutions in a cloud-native environment based in Atlanta, Georgia. This contract opportunity has the potential to become a permanent role and will involve designing, building, and deploying intelligent applications that improve business operations and connect seamlessly with enterprise platforms. The role spans the full development lifecycle, with a focus on scalable architecture, practical AI integration, and high-quality delivery in collaboration with cross-functional teams. Responsibilities: • Design and build AI applications that use Claude large language models to support business-focused automation and decision-making. • Create agent-based workflows, including orchestration logic, prompt patterns, and autonomous behaviors that enable reliable task execution. • Develop and implement Model Context Protocol-based agents or comparable agent frameworks within enterprise AI environments. • Connect AI solutions to internal and external platforms through APIs, ensuring secure and efficient access to business data. • Improve application performance by refining token usage, response quality, runtime efficiency, and overall operating cost. • Build backend services, utilities, and supporting components needed to power scalable AI products in production. • Partner with product leaders, technical teams, and business stakeholders to translate requirements into practical AI solutions. • Contribute to deployment planning, testing, and ongoing enhancement of cloud-based AI systems across distributed environments.
2026-06-18T00:00:00Z

Artificial Intelligence (AI) Engineer

Lake Forest, IL
onsite
Permanent / Full Time
150000 - 185000 USD / Yearly
We are looking for an experienced AI Program Manager to lead enterprise AI and automation initiatives in Lake Forest, Illinois. This role will shape the direction of a digital workforce program, identify high-impact use cases, and guide solutions from initial evaluation through deployment and ongoing optimization. The position partners closely with business stakeholders and technical teams to expand AI adoption, deliver measurable operational value, and assess emerging technologies that support long-term innovation. Responsibilities:• Direct the enterprise digital workforce program across intake, prioritization, solution governance, implementation oversight, change enablement, and platform support activities.• Partner with business leaders and technical teams to uncover automation and agentic AI opportunities that improve efficiency, reduce costs, and strengthen operational outcomes.• Design end-to-end AI and automation solution approaches using platforms such as Bedrock, Databricks, and other approved enterprise AI environments.• Evaluate the existing automation portfolio and determine whether solutions should be retired, redesigned, or rebuilt to align with modern AI capabilities.• Lead adoption efforts for tools such as Microsoft 365 Copilot and Claude Enterprise by creating enablement strategies, user education plans, and engagement programs.• Establish and grow a network of AI champions across the organization to encourage practical usage, increase confidence, and accelerate business adoption.• Monitor program performance through recurring reporting that tracks participation, outcomes, and business value tied to capacity gains, cost impact, and revenue contribution.• Research developing trends in AI and automation, assess enterprise applicability, and run structured pilots that inform future roadmap decisions.• Guide and mentor AI Solution Analysts by overseeing process assessments and ensuring documentation and design deliverables meet business and audit standards.
2026-07-06T00:00:00Z

Email Automation Specialist

Atlanta, GA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Email Automation Specialist 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.The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.
2026-07-15T00:00:00Z

Email Automation Specialist

Atlanta, GA
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Email Automation Specialist 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.The ideal candidate must be local to the Atlanta area and comfortable working onsite three days a week, collaborating directly with cross-functional teams.
2026-07-23T00:00:00Z

Quality Engineer

Lockport, NY
onsite
Permanent / Full Time
52000 - 67000 USD / Yearly
Robert Half Permanent Placement is excited to partner with an innovative manufacturer in Lockport, NY on their search for a Quality Engineer. This exciting role has a starting salary of $50,000 - $70,000 depending on experience and a comprehensive benefits package. Our great client has newly created this position that comes with excellent career growth opportunity for someone with a quality and safety mindset. Responsibilities include but not limited to: <ul><li>Develop, implement, and maintain quality procedures, work instructions, inspection methods, and testing protocols to ensure compliance with customer, regulatory, and internal quality standards</li><li>Evaluate manufacturing processes, analyze quality data and trends, and lead continuous improvement initiatives that enhance product quality, reduce waste, and improve operational efficiency</li><li>Conduct product, material, equipment, and process validation activities, including testing, calibration management, statistical analysis, and documentation of results </li><li>Lead investigations involving nonconforming materials, customer complaints, and corrective and preventive actions, performing root cause analysis and implementing effective corrective actions</li><li>Support and maintain the Quality Management System including safety and quality certifications, customer specifications, raw material specifications, and finished product requirements</li><li>Train production and quality personnel on quality systems, inspection methods, new equipment, and standard operating procedures to ensure consistent execution across the organization</li><li>Support customer and certification audits, respond to customer quality inquiries, maintain inspection and calibration records, and serve as backup to the Director of Quality as needed</li></ul>
2026-07-22T00:00:00Z

QA Lead

Romeoville, IL
onsite
Temporary / Contract
55.4135 - 64.163 USD / Hourly
We are looking for an experienced QA Lead to guide quality assurance activities for a long-term contract opportunity in Romeoville, Illinois. This role will oversee testing strategy, coordinate validation efforts with cross-functional partners, and help ensure business and technical requirements are thoroughly verified before release. The ideal candidate brings strong manual testing expertise, leadership experience, and the ability to support both quality assurance and business analysis needs in a complex enterprise environment. Responsibilities: • Direct the end-to-end QA lifecycle, including test planning, execution oversight, defect tracking, and final validation activities. • Partner with business teams, project stakeholders, and technical staff to convert functional needs into practical test scenarios and measurable acceptance criteria. • Lead user acceptance testing efforts by organizing schedules, guiding participants, and confirming outcomes align with business expectations. • Develop and maintain structured testing assets such as test plans, test cases, scripts, and quality standards to support consistent delivery. • Perform hands-on manual testing across applications and workflows to identify issues, verify fixes, and support release readiness. • Coordinate system integration and end-to-end testing to confirm data flow, functionality, and performance across interconnected platforms. • Support large-scale modernization or legacy platform replacement initiatives by ensuring quality checkpoints are built into project delivery. • Use Jira or comparable tools to document defects, monitor resolution progress, and provide clear status updates to stakeholders. • Contribute in a secondary business analysis capacity when needed, including clarifying requirements and documenting business processes.
2026-07-22T00:00:00Z

Quality Assurance Manager

Oshkosh, WI
onsite
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for a Quality Assurance Manager to lead quality strategy and execution for a multi-plant manufacturing organization in Oshkosh, Wisconsin. This role oversees inspection, testing, compliance, and continuous improvement activities to ensure products consistently meet engineering requirements, customer expectations, and internal quality standards. The position also partners closely with manufacturing, engineering, sales, and purchasing teams to strengthen process control, support audits, and drive effective resolution of quality concerns. Responsibilities: • Lead the quality assurance function across multiple manufacturing operations, establishing processes that support consistent product conformance and reliable inspection outcomes. • Manage quality documentation, including the quality manual and related procedures, and ensure standards are maintained throughout receiving, production, testing, and shipment activities. • Oversee incoming, in-process, and final inspections for materials and finished goods, confirming alignment with engineering specifications and customer requirements. • Supervise and develop inspectors and auditors by assigning work, delivering training, and evaluating performance across machining, welding, winding, finishing, assembly, testing, and shipping areas. • Coordinate the review and disposition of nonconforming materials, issue material review documentation, and maintain controlled areas for discrepant parts until resolution is completed. • Partner with manufacturing, engineering, sales, and purchasing teams to address quality issues, support source inspections, evaluate vendors, and prepare for customer inquiries and order requirements. • Ensure calibration schedules for inspection equipment, gauges, and measuring tools are completed on time and that required certifications and records are properly prepared and maintained. • Host customer and compliance audits, present quality data and inspection records, and provide recommendations to leadership based on trends, risks, and improvement opportunities. • Maintain accurate test and inspection records, analyze quality performance metrics, and communicate findings that help identify root causes and corrective actions. • Support departmental leadership responsibilities including employee coaching, performance reviews, staffing recommendations, grievance response, and reinforcement of safe work practices and labor policy compliance.
2026-07-23T00:00:00Z

Application Security Engineer

Reading, PA
remote
Permanent / Full Time
117200 - 146600 USD / Yearly
We are looking for an Application Security Engineer to strengthen secure software delivery and partner closely with engineering teams in Reading, Pennsylvania. This role focuses on embedding security throughout the software lifecycle, from architecture and development through deployment and ongoing operations. The ideal candidate brings deep application security expertise, a collaborative mindset, and the ability to translate security requirements into practical engineering guidance. Responsibilities: • Partner with software engineering and cybersecurity teams to build security into application design, coding practices, release processes, and production support. • Perform in-depth security evaluations through code analysis, threat modeling, penetration testing, and vulnerability assessments to uncover and prioritize risk. • Establish and uphold secure development standards, reusable patterns, and technical guidance that improve consistency across teams. • Administer and enhance security controls within CI/CD workflows, including code scanning, infrastructure-as-code checks, and container security tooling. • Contribute to architecture assessments for cloud-based systems, microservices, and containerized applications to ensure resilient and secure designs. • Evaluate application risks and support formal security reviews to guide mitigation planning and informed technical decisions. • Verify that application security activities align with applicable compliance obligations and recognized industry frameworks. • Create and deliver training sessions that help developers strengthen secure coding habits and increase security awareness. • Track emerging attack techniques and threat intelligence, then apply those insights to improve preventive and detective controls. • Support the monitoring, investigation, and remediation of application security issues, while coordinating effectively with external vendors and consultants as needed.
2026-07-14T00:00:00Z

Software Engineer III – Salesforce & AI

San Ramon, CA
remote
Permanent / Full Time
102000 - 150000 USD / Yearly
Our client is building the next generation of intelligent, scalable enterprise applications at the intersection of Salesforce, AI, and automation. Their high-performing Marketing Applications team delivers mission-critical solutions that power large-scale operations, optimize business processes, and embed AI-driven insights across the organization. They are seeking a Software Engineer III to independently design and deliver complex technical solutions while developing deep expertise across Salesforce, AI-enabled workflows, and enterprise integrations. This role is ideal for a proven engineer who enjoys architectural ownership, mentoring others, and working across a sophisticated technology ecosystem. Candidates from outside the Salesforce ecosystem are encouraged to apply if interested in specializing in these technologies. What You’ll Do<ul><li>Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools</li><li>Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)</li><li>Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms</li><li>Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures</li><li>Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences</li><li>Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows</li><li>Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes</li><li>Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js</li><li>Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews</li><li>Mentor junior engineers and promote engineering best practices and technical excellence</li><li>Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions</li></ul>
2026-07-10T00:00:00Z

AI Engineer (AI Data Privacy, Security & Governance)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
obert Half is seeking a Software Engineer II – AI Engineer to analyze, design, program, debug, test, implement, and support the privacy, security, and governance controls that protect generative AI technologies. This role safeguards GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, plugins, skills, and autonomous agents, by embedding data protection, security guardrails, and responsible AI governance across the development lifecycle. This role supports SDLC documentation across all phases, with a focus on data privacy, security guardrails, governance, compliance, and risk management. It also works with users to define requirements and support applications in production. What You’ll Do <ul><li>Design and implement data privacy controls, including PII/PHI detection, redaction, and data minimization. </li><li>Build security guardrails, including prompt-injection defense, jailbreak prevention, and output filtering. </li><li>Establish governance for plugins, skills, and agents, including registration, approval, and lifecycle management. </li><li>Review and vet third-party plugins, skills, and agent tools for security, privacy, and compliance risks. </li><li>Define and enforce access controls, authentication, and least-privilege permissions for AI components. </li><li>Implement guardrails for autonomous agents, including action scoping, tool-use restrictions, and human-in-the-loop approval. </li><li>Apply data classification, retention, and residency policies across GenAI data flows. </li><li>Monitor AI systems for policy violations, data leakage, and anomalous plugin, skill, or agent behavior. </li><li>Maintain audit trails and logging for plugin, skill, and agent activity. </li><li>Support compliance with regulations and frameworks, including GDPR, CCPA, and the EU AI Act. </li><li>Provide Level II production support for security, privacy, and governance incidents. </li><li>Support incident response, including containment, escalation, and remediation. </li></ul>
2026-07-10T00:00:00Z

Azure Cloud Engineer

Midland, TX
onsite
Permanent / Full Time
140000 - 165000 USD / Yearly
We are looking for an experienced Azure Cloud Engineer to join our team North Houston. In this role, you will leverage your expertise to manage cloud infrastructure, ensure system reliability, and collaborate with team members on key projects. This position requires a strong background in Azure administration and Infrastructure as Code (IaC) tools, along with a commitment to delivering high-quality solutions. Responsibilities:• Design, implement, and manage Azure cloud infrastructure to support business needs.• Utilize tools such as Terraform and Ansible to develop and maintain Infrastructure as Code (IaC) solutions.• Collaborate with team members to maintain Office 365, Exchange Online, Intune, and Active Directory systems.• Ensure the scalability and reliability of cloud-based systems by implementing auto-scaling solutions.• Regularly assess and optimize cloud environments to enhance performance and security.• Provide on-site support five days a week, with half-day Fridays.• Travel to Midland quarterly to participate in team collaborations and align on project objectives.• Maintain documentation for cloud processes and configurations to ensure clarity and compliance.• Work closely with stakeholders to identify and address technical challenges.• Support and contribute to the development of cloud strategies aligned with organizational goals.
2026-07-14T00:00:00Z

Software Engineer II – AI Engineer (w/ skills in Deployment)

San Ramon, CA
remote
Permanent / Full Time
85000 - 124000 USD / Yearly
Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. What You’ll Do <ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul>
2026-07-10T00:00:00Z

Azure Developer

Fort Lauderdale, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Azure DeveloperWe are seeking a knowledgeable Azure Developer to build cloud-native applications and services using Microsoft Azure technologies. This role is ideal for someone who enjoys designing scalable solutions, working with modern cloud tools, and collaborating closely with software and cloud engineering teams. The ideal candidate will have strong development skills, deep understanding of Azure services, and a passion for cloud innovation.Responsibilities<ul><li>Develop cloud-based applications using Azure Functions, App Services, Logic Apps, and related services</li><li>Build APIs, microservices, and serverless workloads using .NET, C#, or other Azure-supported languages</li><li>Implement Azure integrations using Service Bus, Event Hub, API Management, or Durable Functions</li><li>Create and optimize Azure DevOps pipelines for CI/CD automation</li><li>Develop Infrastructure-as-Code templates using ARM, Bicep, or Terraform</li><li>Collaborate with architects and DevOps teams to ensure scalable cloud designs</li><li>Troubleshoot application issues, performance bottlenecks, and integration problems</li><li>Monitor cloud workloads, logs, costs, and performance metrics</li><li>Maintain documentation for Azure solutions, APIs, and deployment procedures</li><li>Participate in code reviews, design sessions, and architectural discussions</li></ul>
2026-07-23T00:00:00Z

Analytics Engineer

Des Moines, IA
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for an Analytics Engineer to join a business services team in Urbandale, Iowa on a contract basis with the potential for a permanent role. This role focuses on building scalable data models and business intelligence solutions that turn complex information into clear, reliable insights. The ideal candidate brings strong experience in data warehousing concepts, BI semantic modeling, and modern analytics platforms across both on-premises and cloud environments. Responsibilities: • Design and maintain dimensional data models that support reporting needs, including star and snowflake structures, fact tables, dimension tables, and slowly changing dimensions. • Develop relational models using sound database design principles, ensuring appropriate use of keys, entity relationships, and data integrity standards. • Create and enhance semantic layers for reporting and analytics in Power BI, Microsoft Fabric, and tabular modeling environments. • Build calculations, measures, and reusable logic that improve reporting consistency and support trusted business definitions. • Partner with stakeholders to translate business questions into scalable BI models and actionable analytical solutions. • Apply data governance practices to improve model quality, consistency, and alignment with enterprise reporting standards. • Use DAX and Power Query to prepare, model, and optimize data for dashboards, reporting, and self-service analytics. • Contribute to analytics solutions that connect on-premises data environments with cloud-based platforms such as Fabric, Synapse, Databricks, or similar technologies.
2026-07-20T00:00:00Z

Analytics Application Engineer (Legal Industry)

River Edge, NJ
remote
Permanent / Full Time
90000 - 115000 USD / Yearly
We are looking for an Analytics Application Engineer to support and advance an internal reporting platform serving teams in River Edge, New Jersey. This position blends application engineering, data integration, and analytics development to deliver reliable dashboards and actionable operational insights. The ideal candidate will be comfortable working across the full stack, from syncing source-system data into a reporting database to shaping intuitive web-based reporting experiences for internal stakeholders. Responsibilities:• Develop, support, and improve a custom Next.js application that provides interactive dashboards, reusable reports, and performance metrics for internal teams.• Oversee the TypeScript-based data ingestion process that brings Salesforce and Litify information into PostgreSQL, with a focus on accuracy, consistency, and timely updates.• Structure and maintain the reporting database environment, including curated views, application-managed tables, historical metric records, and dashboard settings.• Administer deployments and recurring platform operations through Firebase hosting and GitHub Actions, while monitoring job health and resolving processing issues.• Configure and maintain authentication and authorization controls in Firebase to protect access to internal reporting tools.• Partner with business stakeholders to convert reporting needs into efficient queries, scalable data models, and user-friendly dashboard designs.• Investigate data or application issues across the reporting stack and implement fixes that improve reliability and performance.
2026-07-10T00:00:00Z

AI/Data Governance Analyst

New York, NY
onsite
Temporary / Contract
80.75 - 93.5 USD / Hourly
We are looking for an experienced AI/Data Governance Analyst to support enterprise data strategy efforts in New York, New York. This Long-term Contract position will partner closely with leadership and cross-functional teams to strengthen data governance practices, improve data quality, and promote consistent standards across the organization. The ideal candidate brings a hands-on approach, strong communication skills, and a solid background working across multiple data domains in complex business environments. Responsibilities: • Partner with data strategy leadership to translate governance priorities into practical actions across business and technical teams. • Work directly with stakeholders throughout the enterprise to reinforce adherence to established data policies, standards, and controls. • Assess data quality issues, identify root causes, and help drive corrective actions that improve trust in key datasets. • Support the development, maintenance, and adoption of governance frameworks, business rules, and data management practices. • Collaborate with teams responsible for reporting, analytics, and operational systems to align data definitions and usage standards. • Use tools such as SQL, BusinessObjects, and Erwin to analyze data structures, validate information, and document governance-related findings. • Communicate recommendations, risks, and progress clearly through written materials and stakeholder discussions. • Contribute as a senior hands-on analyst who can guide day-to-day governance execution and help coordinate efforts across multiple data domains.
2026-07-22T00:00:00Z

Software QA Analyst - P&C Background

Saint Petersburg, FL
onsite
Permanent / Full Time
0 - 0 USD / Yearly
We are looking for a Software QA Analyst to join an Agile team in Florida, where quality is treated as a shared responsibility throughout the development lifecycle. This role is ideal for a testing specialist who can independently plan and execute validation activities, investigate issues thoroughly, and work closely with business analysts, developers, and client stakeholders. The position focuses on both manual and automated testing while helping ensure requirements are testable, releases are stable, and defect resolution stays on track. Responsibilities: • Develop and manage detailed test scenarios and test cases based on business needs, user stories, and acceptance criteria. • Perform manual testing across multiple sprint deliverables while maintaining clear visibility into progress, risks, and priorities. • Run and support automated test coverage using Selenium and related QA tools to improve consistency and efficiency. • Document defects with precise reproduction steps, supporting evidence, impact details, and environment information so issues can be resolved quickly. • Re-test resolved issues and complete regression validation to confirm changes do not negatively affect existing functionality. • Take an active role in Agile ceremonies by contributing testing insight during daily stand-ups, refinement sessions, planning meetings, and retrospectives. • Partner with business analysts and developers to review requirements early, identify gaps in testability, and reduce downstream rework. • Assist with release readiness activities, including pre-deployment coordination and post-release smoke testing. • Support client-facing testing efforts by guiding users through validation activities, helping triage reported issues, and coordinating next steps for resolution. • Contribute ideas that strengthen QA practices, improve team standards, and enhance overall product quality.
2026-07-23T00:00:00Z

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