Technical AI Product Lead (CMH Health)

Job Responsibilities

• Meet task and project deadlines through active dependency management and delivery cadence
• Create quality outputs with pragmatic tradeoffs and repeatable delivery
• Understand core tech stacks and make pragmatic architecture and automation decisions
• Delegate and teach effectively, with meaningful execution delegated to others when appropriate
• Identify client problems and design features with clear tradeoffs
• Manage feature dependencies and budgets
• Prepare client communications that explain tradeoffs and results clearly
• Act as a trusted partner for features and tradeoffs
• Maintain or exceed client expectations through repeatable delivery and improved efficiency
• Coach staff in tool usage, patterns, and feedback
• Handle conflict productively and build trust
• Provide and obtain timely feedback with clear expectations
• Optionally participate on market segment committees
• Identify scalable opportunities and support pilots
• Support practice marketing efforts as appropriate
• Aid with broader practice needs such as mentoring and interviewing

Minimum Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 4+ years of experience in software development with a focus on AI and machine learning applications
• Experience working with foundational model APIs (OpenAI, Anthropic, Gemini, Llama)
• Proficiency in programming languages such as Python and C#, and experience with AI frameworks like LangChain, OpenAI, LlamaIndex, PromptFlow, PyTorch, or similar
• Experience implementing and integrating pre-trained AI models into applications
• Strong understanding of machine learning algorithms and natural language processing techniques
• Familiarity with software development practices, version control systems, and agile methodologies
• Experience working with cloud technologies (Azure) and handling large datasets (e.g., Azure Synapse, Databricks, Data Lakes)
• Excellent problem-solving skills and the ability to troubleshoot complex AI-related issues
• Strong communication skills with the ability to work collaboratively in a team environment
• Knowledge of the healthcare industry and regulatory considerations is preferred

Competencies and Behaviors

• Execution and Ownership: Ownership mindset, reliable commitments, prioritization, and delivery planning
• Technical and AI Leverage: Technical depth, systems thinking, architecture judgment, and practical automation
• Quality, Risk, and Defensibility: Validation discipline, risk awareness, and controls mindset
• Domain, Product, and Outcomes: Domain curiosity, product thinking, and adoption orientation
• Communication and Influence: Written communication, oral communication, and stakeholder management
• Leadership and Team Scaling: Coachability, delegation, coaching, and team contribution
• Mindset: Impact-first, systems-thinking, pragmatic MVP judgment
• Discovery: Internal consultant posture, customer truth-seeking, and option shaping with explicit tradeoffs
• Execution: Strong last-mile ownership, scope control, blocker removal, and operational integrity
• Judgment: Technical empathy, system impact evaluation, and design taste

About the Role

The Technical AI Product Lead functions as “The Designer,” creating solutions and making appropriate tradeoffs while prioritizing cost reduction and system reliability with a focus on efficiency.

Requirements

Legal authorization to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.

Qualifications

Milliman’s CMH Health practice is seeking a Technical AI Product Lead who will function as “The Designer,” by creating solutions and making appropriate tradeoffs while prioritizing cost reduction and system reliability with a focus on efficiency.

Skills

Experience working with foundational model APIs (OpenAI, Anthropic, Gemini, Llama)

Proficiency in programming languages such as Python and C#, and experience with AI frameworks like LangChain, OpenAI, LlamaIndex, PromptFlow, PyTorch, or similar

Experience implementing and integrating pre-trained AI models into applications

Strong understanding of machine learning algorithms and natural language processing techniques

Familiarity with software development practices, version control systems, and agile methodologies

Experience working with cloud technologies (Azure) and handling large datasets (e.g., Azure Synapse, Databricks, Data Lakes)

Excellent problem-solving skills and the ability to troubleshoot complex AI-related issues

Strong communication skills with the ability to work collaboratively in a team environment

Knowledge of the healthcare industry and regulatory considerations is preferred

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 observed 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.

Pay

The overall salary range for this role is $117,500 - $279,680. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, Or The District Of Columbia $131,125 - $222,985 if overall experience is less than 6 years; and$169,510 - $279,680 for experience greater than 6 years All Other States $117,500 - $193,900 if overall experience is less than 6 years; and$147,400 - $243,200 for experience greater than 6 years A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

Schedule

It is preferred that candidates work on-site at our Brookfield, Wisconsin office, however, remote candidates will be considered.

Application Deadline

The expected application deadline for this job is October 30, 2026.

EEO Statement

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.