Artificial Intelligence (AI) Engineer

Background

The rapid evolution of artificial intelligence (AI) presents a transformative

opportunity for Milliman to enhance operational efficiency and deliver

innovative client solutions. To accomplish this goal, a new practice, named

Milliman AI Solutions, was established in January 2026. This practice ensures

focused investment, governance, and accountability, enabling the firm to

accelerate development, manage risk, and capitalize on emerging technologies.

This initiative reflects a commitment to building a sustainable, business-driven

AI capability that aligns with Milliman’s long-term growth objectives.

Role Purpose

Milliman AI Solutions is seeking an AI Engineer to help translate operational

workflows, domain knowledge, expert-driven reasoning, business problems, and

user needs into practical AI prototypes and MVPs for internal teams and

client-facing solutions.

This role is intended for an early-career engineer who combines strong software

engineering foundations with curiosity for insurance and business processes,

appetite for hands-on exposure to modern AI-native ecosystems, and commitment to

building solutions that demonstrate value quickly.

Working under the guidance of domain-knowledge business experts, applied AI

consultants, senior AI engineers, and senior AI architects, the AI Engineer will

rapidly explore use cases, design solution approaches, build working

proof-of-concepts, and validate their business value with stakeholders.

While the AI Engineer may contribute to developing scalable technical

foundations and support the transition toward production, the scaling,

industrialization, and long-term operation of solutions will primarily be led by

the Technology team.

Key Responsibilities

• Business Problem & Workflow Translation
• * Work with domain-knowledge business experts, applied AI consultants, product
• owners, and stakeholders to understand operational workflows, expert-driven
• reasoning, business problems, and user needs.
• * Identify where AI can augment expert judgment, automate repetitive tasks,
• improve access to knowledge, or accelerate analytical workflows.
• AI Prototype & MVP Development
• * Design and build working AI prototypes, proof-of-concepts, and MVPs that
• demonstrate practical business value quickly.
• * Develop prototype code bases, lightweight applications, APIs, articulating
• prompts, retrieval workflows, agents, and their evaluation scripts to test
• AI-enabled use cases.
• * Prepare and structure data, documents, knowledge sources, evaluation
• datasets, and workflow logic needed to validate prototypes.
• Stakeholder Validation & Iteration
• * Validate prototypes with business stakeholders, domain experts, and end users
• to assess usability, relevance, accuracy, limitations, and potential business
• impact.
• * Iterate rapidly based on feedback, testing outcomes, observed user behavior,
• and evolving understanding of the workflow.
• * Document prototype assumptions, design decisions, evaluation results, known
• limitations, and recommended next steps in a way that is accessible to both
• technical and non-technical audiences.
• Technology Handoff
• * Support the transition of prototypes toward scalable solutions by preparing
• clear handoff materials for the Technology team, including architecture
• notes, dependencies, risks, security considerations, and production-readiness
• gaps.
• * Apply best AI development principles throughout prototyping, including
• privacy, security, transparency, human oversight, quality evaluation, and
• appropriate use of AI outputs.
• Expected Technical Stack
• * Programming: Fluency in Python, understanding of .Net; familiarity with SQL
• and basic software engineering practices.
• * AI/ML frameworks: familiarity with PyTorch, TensorFlow, scikit-learn, NumPy,
• pandas, MLflow or other experiment tracking and model lifecycle management
• frameworks, experience with tooling for developing reproducible data and ML
• pipelines, and related data science libraries.
• * Generative AI: LLM APIs, prompt engineering, embeddings, vector databases,
• retrieval-augmented generation, evaluation methods, and agentic workflow
• concepts.
• * Application development: REST APIs, FastAPI or similar frameworks, Git,
• testing frameworks, and basic front-end and application integration concepts.
• * Cloud & deployment: Microsoft Azure preferred; exposure to GCP, Databricks
• and AWS is a plus. Familiarity with Docker, CI/CD, monitoring, and secure
• deployment practices.

Qualifications

• * Bachelor’s or Master’s degree in Computer Science, Engineering, Applied
• Mathematics, Data Science, Artificial Intelligence, or a related quantitative
• field.
• * 1–3 years of relevant experience, which may include internships, academic or
• coursework-related projects, personal AI projects, open-source contributions,
• or early professional experience in AI, machine learning, software
• engineering, or data engineering.
• * Exposure to insurance, actuarial science, or financial services is a plus but
• not required.
• * Ability to understand business workflows and translate them into practical AI
• solution designs.
• * Strong communication skills, with the ability to engage non-technical
• stakeholders and clarify ambiguous requirements.
• * Curiosity, problem-solving, and collaborative mindset.
• LOCATION:
• This is a remote role. The expected application deadline for this job is July
• 31st, 2026.
• COMPENSATION:
• The overall range for this role is $78,800 - $145,130.
• For candidates residing in:
• * Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New
• Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of
• Columbia the range is $90,620 - $145,130.
• * All other locations the range is $78,800 - $126,200.
• A combination of factors will be considered, including, but not limited to,
• education, relevant work experience, qualifications, skills, certifications,
• etc.
• ABOUT MILLIMAN:
• Independent for over 77 years, Milliman delivers market-leading services and
• solutions to clients worldwide. Today, we are helping companies take on some of
• the world’s most critical and complex issues, including retirement funding and
• healthcare financing, risk management and regulatory compliance, data analytics
• and business transformation.
• Through a team of professionals ranging from actuaries to clinicians, technology
• specialists to plan administrators, we offer unparalleled expertise in employee
• benefits, investment consulting, healthcare, life insurance and financial
• services, and property and casualty insurance.
• #LI-REMOTE
• EQUAL OPPORTUNITY:
• All qualified applicants will receive consideration for employment, without
• regard to race, color, religion, sex, sexual orientation, gender identity,
• national origin, disability, or status as a protected veteran.