Cyber AI Governance and Privacy Senior Consultant Deloitte Touche Tohmatsu LtdCyber AI Governance and Privacy Senior ConsultantSeattle, WA$105,400–$207,800 / yearIntegrating governance checkpoints into product and engineering delivery through architecture reviews, release gates, evaluation requirements, documentation automation, evidence capture, dashboards, and cross-functional collaboration with Cybersecurity, Privacy, Legal, Risk, Engineering, and Data Science teams. As a Senior Consultant, you will help clients and internal delivery teams move from AI principles to practices: risk tiering, model and agent inventories, technical guardrails, governance workflows integrated into the SDLC, and evidence artifacts suitable for audits and regulators.
AI Prompt Engineer Team Red DogAI Prompt EngineerRedmond, WARemote$66–$71 / hourCandidates who stand out typically demonstrate experience delivering production-ready AI solutions, balancing technical depth with strong communication skills, and proactively identifying opportunities to improve AI-driven user experiences and operational workflows. The ideal candidate will bring strong expertise in prompt engineering, software development, testing, debugging, and AI workflow optimization while helping improve AI response quality, scalability, and user experience across complex enterprise environments.
Manager, AI Operations Carnival Global BrandManager, AI OperationsSeattle, WA$89,600–$150,000 / yearThis role bridges AI Innovation, IT, PMO, commercial/product stakeholders, and business operations by defining the value case for AI work, translating scaled technology into operational implementation plans, and building the change, training, readiness, hypercare, and sustainment practices that enable teams to use AI effectively. Qualifications : Bachelor's Degree in Accounting, Information Technology, or related field; advanced Bachelor’s degree in Business Administration, Operations, Technology Management, Change Management, Organizational Effectiveness, Product Management, Analytics, or related field required; advanced degree preferred.
Field Application Engineer- AI/Datacom Koch IncField Application Engineer- AI/DatacomSeattle, WA$150,000–$190,000 / yearField Application Engineer- AI/Datacom - United States - 189362 - Koch. Koch Engineered Solutions.
SRE - Senior AI Platform Reliability Engineer HTC Global Services IncSRE - Senior AI Platform Reliability EngineerSeattle, WARemoteFull timeThe selected engineer will help build, scale, and operate the cloud and Kubernetes infrastructure that enables enterprise AI capabilities across the company and the selected engineer will help design, scale, and operate the cloud and Kubernetes infrastructure supporting enterprise AI workloads. The ideal candidate combines strong AI platform infrastructure experience with deep expertise in SRE, Kubernetes, multi-cloud engineering, Infrastructure as Code, observability, and production reliability.
Director of AI Innovation Tata Consultancy Services LtdDirector of AI InnovationBellevue, WA$199,500–$260,000 / yearProgram & Delivery Management: Own end to end delivery of complex, multi stream programs across the construction supply chain lifecycle. Leadership & People Management: Lead, mentor, and scale a team of Technical Project Managers across multiple initiatives.
AI Enterprise Architect Tata Consultancy Services LtdAI Enterprise ArchitectSeattle, WA$80,000–$160,000 / yearRoles & Responsibilities: Regional AI Technical Lead is a strategic technical leader responsible for designing, implementing, and managing advanced generative AI solutions across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Architect, deploy, and monitor generative AI solutions on GCP (Vertex AI, Document AI, AlloyDB, BigQuery, Cloud Run), Azure (OpenAI Service, Cognitive Search, Azure ML, Azure Functions), and AWS (Bedrock, SageMaker, Lambda, API Gateway, DynamoDB).
Director, Artificial Intelligence (AI) Northwest Fiber, LLCDirector, Artificial Intelligence (AI)WAKey Success Metrics Success in this role will be measured by the ability to deliver measurable business outcomes and scale AI capabilities across the enterprise, including: · Deployment and adoption of high-impact AI use cases across customer care, field services, dispatch, digital channels, IVR, and network operations. · Minimum of ten (10) years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments, with five (5)+ years in leadership roles.
AI DevOps Engineer University of WashingtonAI DevOps EngineerSeattle, WADeep hands-on expertise in Azure architecture, identity and access management, networking, container orchestration, and platform-native services is essential to ensure secure, reliable, and scalable delivery of AI applications across the university. Manage and monitor Azure cloud environments (e.g., Azure App Services, Azure AI Services, Azure SQL, Azure Storage, Azure Virtual Networks) ensuring availability, security, and compliance with university policies.
Sr. Software Engineer - AI Innovation Team Boeing Employees Credit UnionSr. Software Engineer - AI Innovation TeamWA$141,800–$173,300 / yearWHAT YOU'LL DO: Build AI‑Powered Features: Develop and implement moderate to complex application features and services, including high‑impact components that integrate AI/ML models or AI service APIs. From integrating machine learning models and generative AI services to guiding best practices and architecture decisions, your work will directly influence performance, innovation, and long-term technical direction.
Principal AI Product Manager AmperityPrincipal AI Product ManagerSeattle, WA$200,000–$280,000 / yearOur AI-powered Customer Data Cloud, built on multi-patented technology, enables more than 400 global brands , including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage. This role will own and articulate the AI product vision that differentiates our platform, spanning predictive modeling, LLMs, intelligent automation, and advanced personalization, and guide how these capabilities transform core customer workflows across industries.
Staff AI Security Engineer Spring HealthStaff AI Security EngineerSeattle, WA$208,000–$251,022 / yearLead secure design and threat modeling for AI systems including LLMs, agentic workflows, and retrieval pipelinesIdentify and mitigate risks such as prompt injection, data exfiltration, model abuse, and privilege escalation. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.
NewStaff AI Platform Engineer, Infrastructure Services SentinelOneStaff AI Platform Engineer, Infrastructure ServicesSeattle, WA$156,000–$215,000 / yearDesign across the platform, not just the gateway: work fluently with our CI/CD (Jenkins, JPAAS), GitOps and Kubernetes deployment tooling (ArgoCD across dev/gov/prod), artifact management (Artifactory/Xray), GitHub Enterprise administration, and GitHub Actions runner fleet, so that AI infrastructure decisions account for how the rest of the platform actually works. As a Staff AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes, rate-limits, and monitors AI coding assistant traffic org-wide, while also being fluent enough across our broader platform stack to design solutions that span the two.
NewSenior AI Platform Engineer, Infrastructure Services SentinelOneSenior AI Platform Engineer, Infrastructure ServicesSeattle, WA$132,000–$182,000 / yearDesign across the platform, not just the gateway: work fluently with our CI/CD (Jenkins, JPAAS), GitOps and Kubernetes deployment tooling (ArgoCD across dev/gov/prod), artifact management (Artifactory/Xray), GitHub Enterprise administration, and GitHub Actions runner fleet, so that AI infrastructure decisions account for how the rest of the platform actually works. As a Senior AI Platform Engineer, Infrastructure Services, you will be tasked with taking ownership of our AI Gateway infrastructure (built on Kong AI Gateway), the system that authenticates, routes, rate-limits, and monitors AI coding assistant traffic org-wide, while also being fluent enough across our broader platform stack to design solutions that span the two.
Senior Staff AI Platform Engineer SentinelOneSenior Staff AI Platform EngineerSeattle, WA$184,000–$253,000 / yearIdeal candidates will have: Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.
Sr. Manager, AI Software Engineering SentinelOneSr. Manager, AI Software EngineeringSeattle, WA$200,000–$275,000 / yearOperate as a delivery-focused engineering leader who balances innovation with reliability; raise the bar on execution discipline, technical quality, and cross-functional collaboration; build healthy teams with clear accountability, strong coaching, and high trust; make pragmatic decisions, surface risks early, and drive issues to resolution; and foster a culture that values customer impact, learning velocity, and engineering excellence. You will lead engineers working on AI-powered product capabilities, platform services, and supporting infrastructure while partnering closely with Product, Architecture, Security, Data, and other Engineering leaders to deliver high-impact AI initiatives with quality, speed, and operational rigor.
Senior AI Engineer - Privacy Cardinal Integrated Technologies IncSenior AI Engineer - PrivacyBellevue, WADesign and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. Build AI-powered automation for privacy operations including intelligent DSR routing, threshold monitoring, agentic data quality checks, and automated regulatory notifications.
AI Security Engineer University of WashingtonAI Security EngineerSeattle, WashingtonThe AI Security Engineer exists to secure the university's AI platforms, primarily Purple, built on Cloudforce nebulaONE and hosted in Azure AI Foundry, ensuring that AI services delivered to over 50,000 faculty, staff, and students across three campuses operate within a robust, compliant, and trustworthy security framework. -Implement and maintain security controls for AI platforms within Microsoft Azure, including network security groups, firewalls, encryption, key management, and secure landing zones aligned with the Azure Well-Architected Framework (security pillar) and the Microsoft cloud security benchmark.
NewSr. Manager Data Science - Gen AI and Content Systems RELX Group plcSr. Manager Data Science - Gen AI and Content SystemsWA$118,300–$219,800 / yearOur company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. Our teams harness the power of large language models (LLMs), RAG, agentic systems and large-scale structured and unstructured content systems to build tools that acquire, structure, enrich and deliver legal content.
Staff AI Platform Engineer SentinelOneStaff AI Platform EngineerSeattle, WA$156,000–$215,000 / yearIdeal candidates will have: Hands-on experience building production services that sit in front of multiple consumers such as an API gateway, internal platform, or data platform, with real exposure to authentication/authorization, rate limiting, observability, or audit logging; direct AI and LLM platform experience is a strong plus but not required. Practical experience with agent orchestration frameworks (LangGraph or equivalent) and calling hosted model providers such as AWS Bedrock or Google Vertex, with a working understanding of how context windows, memory, and tool-calling actually behave in production, not just conceptually.