Top Tech Jobs & Startup Jobs in Seattle, WA

Senior technical leader who architects, builds, and deploys Generative and Agentic AI solutions for enterprise clients. Leads client engagements, mentors technical teams, designs scalable ML/LLM pipelines and MLOps, facilitates workshops, and ensures best practices and responsible AI across projects.

Lead design, implementation, and validation of end-to-end credit risk strategies. Perform portfolio analysis using internal, bureau, and alternative data. Build and enhance credit risk models and decision frameworks, deliver MIS reports and dashboards, ensure regulatory compliance, collaborate with stakeholders, support business development, and provide strategic recommendations to senior leadership while managing client relationships and driving analytics-led solutions.

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.

Adjudicate life and annuity death benefit claims: evaluate documents, determine payable claims, calculate benefits, serve as first approver, handle claimant calls, document files, identify fraud/risk, ensure tax reporting, meet performance targets, and maintain inventories while working remotely on assigned shifts.

Lead end-to-end sales and business development for Healthcare Provider accounts, driving new logo acquisitions, strategic account expansion, and Data & AI-led solutions. Orchestrate cross-functional teams, build CXO relationships, manage complex deal cycles, ensure pipeline conversion, and oversee financial performance to achieve consistent revenue growth.

Design, build, and optimize data pipelines and storage solutions. Ensure data accuracy and performance, provide technical support, and collaborate with data scientists and stakeholders to resolve data issues and meet requirements.

Design, build, and optimize scalable AWS-based data pipelines, data lakes, and warehouses. Migrate legacy systems, enforce data quality/security/governance, implement ETL/ELT and big-data solutions, adopt CI/CD and IaC, collaborate with stakeholders, and provide technical leadership and troubleshooting.

Support senior analysts on LifePRO system implementations by gathering and documenting business requirements, creating and executing test cases, participating in system testing and validation, reproducing issues, assisting proof-of-concept work, attending client meetings, and learning insurance and actuarial concepts under supervision.

Perform remote premium audits: schedule and conduct audits with insured clients, collect and review documentation, prepare accurate audit reports, communicate with insureds and stakeholders, and manage workload to meet deadlines and quality standards.

Serve as actuarial product SME for life and annuity implementations: review specs, translate actuarial requirements into configuration and testing guidance, support data conversion and balancing analysis, validate system behavior, and use SQL and scripting to analyze and reconcile source and target data.