NOTE: Individual(s) must be legally authorized to work in the United States
without the need for immigration support or sponsorship from Milliman now or in
the future.
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 a Senior Forward Deployed Actuary to establish
and refine the business engagement and engineering capability within the
practice. This role will help respond to increasing internal and client demand
for AI transformation services, bridging expert workflow redesign, AI solution
co-design, and implementation readiness.
This role is intended for an experienced professional who combines insurance
domain understanding, business consulting skills, applied AI fluency, and the
ability to translate complex client workflows into practical AI-enabled
transformation opportunities. The individual will support practices – Milliman’s
consulting and product businesses – in client conversations, proposal
development, diagnostic workshops, use case prioritization, AI solution framing
and prototyping, and the transition from AI ambition to tangible business value.
Working closely with practice leaders, domain experts, AI engineers and AI
architects, the Senior Insurance Applied AI Engineer will map and redesign
workflows, capture expert knowledge, identify where enterprise AI tools and
agentic systems can create value, and shape AI implementation pathways that are
credible and aligned with practices and client operating realities.
Over time, the person taking on this role should have the potential to operate
as a lead in the business engagement and engineering team within AI Solutions,
refining its engagement model, developing reusable methods and assets,
coordinating demand across practices, and enabling a scalable capability that
connects client transformation needs with Milliman’s AI design and delivery
expertise.
Key Responsibilities:
Internal & Client AI Business Engagement
Support practices in responding to increasing client demand for AI
transformation capabilities, from early opportunity shaping through
diagnostic workshops, proposal development, and AI use case development
engagements.
Translate client strategic priorities, target operating model, and workflow
pain points into actionable AI transformation roadmaps, use case portfolios,
and AI implementation pathways.
Help internal and external clients move beyond isolated AI pilots by
connecting AI use cases to measurable business value, adoption requirements,
and delivery at scale.
Workflow Mapping, Redesign & Expert Knowledge Capture
Map current-state insurance workflows, decision processes, handoffs,
controls, data flows, expert reasoning patterns, and pain points across
actuarial, underwriting, claims, reporting, compliance, and related business
domains.
Redesign target workflows around AI-enabled delivery, balancing automation,
expert judgment, human oversight, governance, auditability, and change
management.
Capture and structure expert knowledge into AI-ready artifacts, including
reasoning workflows, mental maps, process documentation, prompt patterns,
knowledge bases, evaluation criteria, and requirements for agentic workflows.
AI Solution Co-Design & Enterprise Tool Enablement
Co-design practical AI-enabled solutions with business experts, AI engineers,
and product owners, ensuring that AI solutions are grounded in real workflows
and implementation constraints.
Advise clients and internal teams on the effective use of enterprise AI tool
ecosystems, including approved generative AI tools, knowledge assistants,
agentic workflow platforms, document intelligence capabilities, evaluation
methods, and responsible AI controls.
Define requirements, success measures, validation approaches, adoption
considerations, and handoff materials that enable AI engineers to move from
concept to prototype, MVP, and scalable implementation.
Expected Capabilities & Tooling Fluency
Insurance workflows mapping and optimization: Strong understanding of
insurance workflows and the ability to engage credibly with domain experts
across actuarial, underwriting, claims, reporting, compliance, risk, or
adjacent functions. Demonstrated ability to map business processes, structure
expert knowledge, identify improvement opportunities, and translate ambiguous
business problems into practical solution requirements.
Delivery collaboration: Ability to work with domain experts, AI engineers and
Technology teams on requirements, prototype framing, evaluation, architecture
considerations, security constraints, deployment options, and
production-readiness gaps.
Enterprise AI tool ecosystem: Practical understanding of how business users,
hybrid users, and technical teams apply enterprise AI tools across chat,
coding, active agents, workflow automation, document intelligence, data
analysis, and prototyping environments.
Generative AI and agentic systems: Working fluency with LLMs, prompt design,
retrieval-augmented generation, knowledge assistants, agentic workflows,
evaluation approaches, human-in-the-loop design, and responsible AI
principles.
Qualifications:
Bachelor’s or Master’s degree in Actuarial Science, Engineering, Computer
Science, Applied Mathematics, Data Science, Business, Finance, Insurance, or
a related quantitative or business field.
6–8 years of relevant professional experience in insurance, actuarial
consulting, business transformation, operations, data management,
technology-enabled consulting, or related fields.
Experience supporting business development, proposal writing, client
workshops, solution scoping, or transformation roadmap development.
Excellent communication and stakeholder management skills, with the ability
to bridge senior business leaders, subject matter experts, AI engineers,
Technology teams, and client delivery teams.
Entrepreneurial mindset, structured problem-solving, commercial awareness,
and willingness to build a new capability within a fast-evolving AI Solutions
practice.
LOCATION:
This is a remote role. The expected application deadline for this job is
November 6th, 2026
COMPENSATION:
The overall range for this role is $168,402 - $319,408. 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 $193,662 - $319,408
All other locations the range is $168,402 - $277,746
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.
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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