AI Scientist Senior II

Position Summary

AI Scientist Senior II – Hybrid (3 days/week in office). Eligible for locations in Burlington, Renton, Spokane, Vancouver, Portland, Medford, Salt Lake City, Boise, Lewiston, or Fargo. Must live within commutable distance or be willing to relocate. Build AI solutions that make health care easier and lives better.

• Design, develop, and implement data‑driven AI solutions for clinical care delivery, customer experience, and payment integrity.
• Architect and build sophisticated AI systems, writing production‑quality code, conducting rigorous experiments, and establishing best practices.
• Mentor junior AI scientists, influence technical direction, and drive cross‑functional initiatives with Product, Engineering, and Business teams.
• Lead the adoption of advanced generative AI, machine learning, and deep learning techniques, integrating them into scalable production pipelines.
• Partner with stakeholders to identify high‑impact AI opportunities, translate ambiguous business challenges into measurable AI projects, and quantify business ROI.
• Manage end‑to‑end lifecycle: data engineering, model development, MLOps, responsible AI governance, and continuous monitoring in production.

• Master’s or PhD in Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics (or equivalent).

• 12+ years of related experience (education/experience equivalence considered).
• Expert in generative AI, machine learning, deep learning, and advanced AI/ML techniques.
• Proficient in Python, software engineering principles (design patterns, testing, CI/CD), and MLOps.
• Strong SQL and data‑engineering skills; experience with complex query optimization and data‑pipeline design.
• Hands‑on experience with noisy, high‑dimensional, sparse, imbalanced, and biased real‑world data across claims, clinical, and member engagement domains.
• Knowledge of healthcare industry (preferred); familiarity with payer operations, regulations, and trends.
• Excellent communication skills, able to present technical concepts to technical teams and C‑level executives.
• Leadership presence, mentoring ability, and a track record of influencing technical decisions and delivering results.

• Lead the design and architecture of complex multi‑component AI systems and define technical standards.
• Research, prototype, and implement cutting‑edge AI techniques to solve healthcare challenges.
• Translate ambiguous business problems into clear AI initiatives, design experimentation strategies (A/B testing, causal inference), and communicate ROI to stakeholders.
• Build and maintain scalable AI data pipelines, ensuring data quality, governance, and compliance with HIPAA.
• Mentor junior scientists, share knowledge through workshops and technical presentations, and support hiring and onboarding.
• Champion responsible AI practices, including bias detection, fairness, transparency, and accountability, ensuring regulatory compliance.

• Competitive base pay, 401(k) with significant company match, and performance‑based bonus.
• Medical, dental, vision, mental health benefits, and health‑savings‑account contribution.
• Paid time off, holidays, parental leave, and wellness programs.
• Work‑from‑home flexibility where allowed.

Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, national‑origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status, or any other status protected by law.