Senior AI Engineer

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.  

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

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.

What You’ll Work On:

• MIKE (MedInsight Knowledge Engine): AI-assistant for healthcare analytics 

• Data Confidence Model (DCM): AI-enhanced data validation and quality assurance 

• Risk Adjustment AI: HCC recapture, risk scoring automation and predictive modeling

• Claims Analytics AI: Pattern recognition, fraud detection, and utilization forecasting 

• Population Health Models: Member segmentation, risk stratification, and predictive analytics 

• Healthcare NLP: Clinical coding, documentation improvement, and insights extraction 
• Lakehouse AI Integration: Embedding AI across our healthcare data platform 

Primary 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

Requirements:

Machine Learning & AI Expertise

• 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

Healthcare Analytics Experience

• 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

Collaboration & Communication

• 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

Preferred Qualifications

• 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

Technical Environment

• Languages: Python, SQL, PySpark
• ML Engineering: scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow, Optuna
• Gen AI: LangChain, OpenAI API, Azure OpenAI, HuggingFace, vector databases
• Data Platforms: Azure Databricks, Azure Data Lake, PostgreSQL, Delta Lake
• Cloud & MLOps: Azure ML, Azure DevOps, Docker, Kubernetes, CI/CD pipelines
• Analytics: PowerBI, Jupyter, VS Code, Git

Location

This role can be located remotely within the United States. The expected application deadline for this job is February 28, 2026.

Compensation

The overall salary range for this role is $104,900 - $199,065.

For candidates residing in:

• Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City,

Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $120,635 - $199,065.

• All other locations the salary range is $104,900 - 173,100.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

• Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career 
• Join an innovative, high growth company with a solid industry track record and opportunities to grow your position within the organization
•  Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions 

Benefits

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

• 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.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

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