Temporary AI & Machine Learning Engineer

Milliman is an independent company that has been delivering market-leading services and solutions for over 75 years. They are seeking a Temporary AI & Machine Learning Engineer to build practical AI solutions that address complex business problems, collaborating closely with various professionals to improve products and automate workflows.

Responsibilities:

• Lead the design, architecture, testing, and deployment of production AI and machine learning solutions for the organization’s most complex and strategically important use cases
• Build the reusable data and modeling infrastructure that lets the team develop and deploy new predictive models rapidly and repeatably
• Encode the team’s existing modeling process into agentic AI workflows that can be reused across many different prediction problems
• Use agentic AI to reproduce established predictions (for example, projected medical costs), then extend the same data and process to new predictions (for example, likelihood of an emergency department visit)
• Develop LLM-enabled applications, agentic workflows, and retrieval-augmented generation (RAG) systems
• Evaluate foundation models and determine the right technologies for each use case, taking into consideration relevant constraints (e.g., IT security requirements)
• Build AI services and APIs that integrate into existing software products
• Optimize AI systems for quality, reliability, latency, and cost
• Define and exemplify high standards for production software engineering in AI-enabled systems, including maintainability, scalability, testing, and operational excellence
• Integrate AI capabilities into existing applications and workflows
• Build automated testing, evaluation, and deployment pipelines for AI systems
• Work closely with the team to ensure AI solutions are maintainable and scalable
• Stay current with rapidly evolving AI technologies, research, and tooling
• Quickly prototype promising ideas and evaluate their practical business value
• Identify new predictions and products the team’s data and process can support, and stand them up quickly as repeatable capabilities for health systems and insurers
• Identify opportunities where AI can improve healthcare analytics, software development, operations, or internal productivity
• Help transform research concepts into production-ready capabilities
• Help data scientists, software engineers, analysts, actuaries, consultants, and other teammates effectively leverage AI in their daily work
• Recommend tools, workflows, and best practices that improve engineering productivity
• Provide expert technical leadership through demonstrations, documentation, architecture guidance, and mentorship that accelerates adoption of effective AI practices across the organization
• Continuously look for opportunities where AI can eliminate repetitive work and accelerate innovation

Requirements:

• Credentialed actuary, with a Fellow of Society of Actuaries (FSA) designation
• Master in Public Health (MPH) degree with experience in the health insurance and provider markets
• 10+ years of health risk adjustment experience
• 5+ years designing and building production predictive models
• Health consulting experience
• Strong software engineering skills
• Deep statistical and modeling expertise
• Experience building applications using large language models (e.g., GPT, Claude, Llama, Gemini, or similar)
• Experience deploying AI solutions into production cloud environments
• Strong understanding of modern machine learning concepts
• Excellent communication skills and the ability to explain technical concepts to both technical and non-technical teammates
• Highly self-directed with strong problem-solving skills
• Curious, humble, collaborative, and eager to learn
• 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