Top AI Automation Jobs in Seattle, WA

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

The AI Developer role involves designing AI solutions for healthcare clients, focusing on transformation programs, AI integration, and development of CoEs. Responsibilities include client collaboration, AI/ML solution implementation, and leadership in project teams.

The AI Automation Lead will architect and deliver multi-agent AI workflows, develop full-stack applications, and lead technical decisions across engineering teams.

The Senior Vice President of AI and Transformation will develop and deliver strategies for integrating AI, analytics, and automation into processes, ensuring they meet regulatory standards. This role involves partnership with leadership to enhance service quality and governance principles for responsible tech use.

The role involves leading the development of AI Data Services, defining offerings, building delivery and quality systems, ensuring customer outcomes, and establishing credibility in expert data.

The AI Experience Manager acts as the link between business leaders and technical teams, shaping AI solutions, managing deliveries, ensuring user-centered experiences, and promoting adoption.

As Director of AI Innovation, you will lead AI adoption agency-wide, manage AI tool stacks, and develop AI-driven business applications. You will ensure successful deployment and measurable change using AI tools.

Lead AI-driven implementations for finance teams, transforming Accounts Payable workflows. Mentor others, develop scalable frameworks, and ensure successful Go-Live outcomes.

The Senior Technical Product Manager leads the development of AI-enabled digital products, collaborating with stakeholders and managing the product lifecycle to drive business results.

The Director of AI & Process Automation will identify automation opportunities, lead initiatives across functions, and ensure solutions are architecturally sound while driving measurable outcomes.

The Business Process Leader drives AI tool deployment in insurance brokerage, optimizing workflows for efficiency and client experience while leading change management and ensuring compliance.

The AI & Automation Engineer will design and build AI-powered workflows using Workato, partnering with IT and business teams to enhance productivity and operational efficiency.

Lead onboarding and implementation of AI solutions in banks. Manage customer transformation journeys, ensure project alignment, and facilitate engagement with stakeholders to achieve maximum ROI.

As an AI Automation Engineer, you will partner with business groups to assess challenges and deliver AI-driven automation solutions while ensuring code quality and collaborating with cross-functional teams.

The Principal AI Consultant advises on AI application in Financial Services, focusing on operational relevance and business alignment, leveraging deep industry knowledge to enhance customer experience and efficiency.

The Principal AI Consultant will leverage deep insurance industry expertise to advise on AI applications, enhancing operational efficiency and improving customer experience in insurance services.

Develop AI capabilities using Microsoft tools, integrate AI solutions within enterprise systems, ensure compliance and security, and collaborate with team members for continuous improvement.

The SME will develop a curriculum on AI for finance, creating engaging content and videos to train finance professionals in AI applications. They must leverage their extensive finance experience and AI understanding to enhance learner success.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

Design, build, and maintain AI assistants and automation workflows across HR, Finance, and Operations. Develop agentic AI, RAG, and integrations using APIs, middleware, and automation platforms. Ensure secure, scalable deployments, measure ROI, document solutions, and train teams on AI-assisted workflows.

The ML Engineer will contribute to the automated discovery engine, developing RL frameworks, synthetic data engines, and evaluating performance using proprietary datasets.

The Principal Scientist will lead the design and implementation of an automated protein sciences platform to support biologics discovery, focusing on AI integration and laboratory automation. Responsibilities include overseeing protein workflows, establishing automation practices, and collaborating cross-functionally to enhance protein and antibody discovery efforts.

As a Staff Software Engineer, you'll lead AI initiatives, design systems, and collaborate with teams to build impactful customer service products using generative AI.

Lead the design and implementation of AI-driven workflows, ensuring future business capabilities are AI-first while collaborating with cross-functional teams.