Senior AI Engineer

Milliman•Seattle, WA

4d•$104,900 - $199,065•Remote

About The Position

We’re seeking a Senior AI Engineer with deep expertise in healthcare claims and machine learning to design, build, and deploy production-grade AI systems. You’ll work across platform engineering, data science, product, and clinical teams to create solutions that improve healthcare quality, risk adjustment, and population health insights. This role blends traditional ML, MLOps, and generative AI (Gen AI) to drive impactful analytics products.

Requirements

5+ years of ML engineering experience with production deployments
Strong Python skills; familiarity with scikit-learn, XGBoost, PyTorch, TensorFlow
Experience with supervised/unsupervised learning, feature engineering, model evaluation, and MLOps
Cloud ML platform experience (Azure ML, Databricks, SageMaker) and containerization (Docker/Kubernetes)
Knowledge of generative AI, LLMs, prompt engineering, and RAG systems
3+ years working with healthcare claims data (medical, pharmacy, eligibility)
Experience with population health analytics, risk adjustment (CMS-HCC, HHS-HCC), and quality measures
Familiarity with actuarial forecasting, cost trending, and healthcare operations
Strong cross-functional collaboration skills, able to work with engineers, product managers, and clinical experts
Able to translate technical concepts for non-technical stakeholders
Ownership mentality: seeing initiatives from concept to production

Nice To Haves

Advanced degree (MS/PhD) in Computer Science, Statistics, Applied Math, or related field
Experience with healthcare analytics platforms (MedInsight, HealthEdge, Cotiviti)
Knowledge of HEDIS, Star Ratings, and quality improvement programs
Clinical NLP or medical coding experience
HIPAA compliance and healthcare data security knowledge

Responsibilities

Design, build, and deploy production ML models and MLOps pipelines
Engineer feature-rich solutions for healthcare claims, risk prediction, and population health
Implement scalable inference systems with proper validation, monitoring, and performance tracking
Strategically integrate LLMs and Gen AI into analytics products, building RAG systems and conversational interfaces
Collaborate with engineering, product, and clinical teams to translate business needs into AI solutions
Ensure models meet clinical accuracy, regulatory compliance, and business credibility
Contribute to ML strategy, tooling, and best practices across teams

Benefits

Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges.
401(k) Plan – Includes a company matching program and profit-sharing contributions.
Discretionary Bonus Program – Recognizing employee contributions.
Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses.
Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis.
Holidays – A minimum of 10 paid holidays per year.
Family Building Benefits – Includes adoption and fertility assistance.
Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria.
Life Insurance & AD&D – 100% of premiums covered by Milliman.
Short-Term and Long-Term Disability – Fully paid by Milliman.