Top AI Automation Jobs in Seattle, WA

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

As a Principal AI Transformation Consultant, you will partner with AE firms to identify workflows for AI enhancements, lead discovery sessions, design transformation plans, and drive successful adoption of Champ for ERP, focusing on measurable outcomes and behavioral change.

Lead strategy, design, and delivery of AI and digital products from ideation through scaling. Define roadmaps, integrate AI/ML and data into products, ensure data quality and governance, manage cross-functional teams, monitor KPIs, and ensure ethical, secure, and compliant deployments that drive measurable business outcomes.

Build and deploy agentic and generative AI copilot and autopilot systems for Risk and Compliance. Own end-to-end systems (data, API integrations, prompt tuning, orchestration, monitoring). Leverage payment, blockchain, graph, and unstructured data to train transformer-based models. Collaborate cross-functionally to productionize and monitor ML at scale, driving strategic roadmaps and significant business impact.

Lead the business-side AI Operations function to translate enterprise AI into adopted, measurable, and sustainable business practices. Build operating models, readiness frameworks, launch and hypercare plans, sustainment processes, and team capabilities. Partner with IT, AI Innovation, product, and business stakeholders to drive adoption, change management, KPI tracking, and continuous improvement across the organization.

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.

Lead client engagements in insurance data, analytics, and AI: define roadmaps, run discovery sessions, design solutions, manage delivery and teams, develop proposals, and ensure DataOps, cloud (AWS), governance, and best practices across AI and analytics initiatives.

The Principal Consultant leads AI and digital transformation engagements, guides clients in identifying AI opportunities, builds strategies and roadmaps, implements solutions, and develops teams to achieve measurable business outcomes.

The Partner Value Solution Engineer empowers partners by providing technical guidance, developing enablement programs, and managing relationships to enhance the selling and delivering of NiCE solutions, particularly within AI and customer experience technologies.

The role leads AI adoption across business functions, prioritizing use cases, building business cases, and driving organizational change necessary for successful implementation. It requires collaboration with IT leadership and the presentation of ROI to business stakeholders.

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.

Design, build, and deploy transformer-based ML and LLM systems to automate risk investigations and decisioning. Own end-to-end pipelines (data ingestion, prompt tuning, orchestration, productionization, monitoring) and collaborate with product, engineering, and operations to deliver copilot/autopilot workflows that improve analyst productivity and eliminate manual reviews.

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.

Lead intake, prioritization, and stakeholder engagement for enterprise AI opportunities; translate business problems into evaluable AI use cases, align to strategy and governance, define KPIs/ROI, and coordinate with execution teams and vendors to ensure responsible, feasible AI adoption.

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.

Interns will build AI/chatbot experiences, support automation workflows and integrations, troubleshoot and enhance existing automations, and document their efforts for broader team use.

The Senior Data Scientist will design data pipelines, build models for fraud detection, and automate data analysis using AI approaches, while managing cross-functional projects and mentoring junior team members.

Lead and build AI-powered automation across Customer Operations (CX, Claims, Underwriting). Own the automation roadmap, partner with Product and Engineering, design prompt and agent architectures, drive pilots to scaled production, build executive business cases, manage vendor tooling feedback, and grow a team of builders focused on GenAI integration and workflow automation.

Design and build automation frameworks and evaluation pipelines for agentic AI products. Develop non-deterministic tests, golden datasets, tool-use validation, prompt regression tests, latency/token monitoring, hallucination detection, and collaborate with AI engineers to convert requirements into measurable automated test cases.

Lead QA Automation for agentic AI products by designing eval pipelines, golden datasets, and automated tests for tool-use, hallucination detection, latency/token monitoring, and regression across models and prompts. Integrate performance testing into CI/CD and collaborate with AI engineers to convert requirements into measurable automated evaluations.

Lead AI and sales automation product efforts for Salesforce: translate business needs into Jira stories, design automations and integrations, coordinate UAT, consolidate data sources, and build AI-driven solutions to reduce manual CRM administration. Occasional hands-on scripting for simple automations.

You will build AI-native creative workflows, generate production-grade assets, and establish automation systems for creative processes across multiple brands.

Build and maintain LLM-powered agents and automation pipelines to create, review, and publish educational content. Integrate and optimize Skilljar and Sanity CMS, eliminate content ops bottlenecks, partner cross-functionally, and implement interactive learning components to scale personalized learning.

Design and build AI-powered automation workflows and integrations for Pragmatico and clients. Lead discovery, architect solutions using LLM APIs and integration platforms (Zapier/Make.com), present solutions to stakeholders, train client teams, and create reusable automation frameworks and thought leadership content.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.