AI Product Engineer (CMH Health)

Milliman is hiring an AI Product Engineer to develop and integrate AI technologies into healthcare applications. The role builds and scales AI-powered solutions, collaborates with technical and healthcare teams, and supports model integration, data alignment, troubleshooting, and documentation.

Responsibilities:

• Implement and Integrate AI Models: Develop, implement, and integrate pre-trained AI models into applications using Python or C#, ensuring they meet performance and scalability requirements
• Collaborate on AI Solutions: Work closely with data scientists and engineers to design AI-powered solutions that align with business goals and client needs
• Cross-functional Integration: Collaborate with cross-functional teams to ensure smooth integration of AI models into existing systems and workflows
• Develop AI Applications: Design, develop, maintain, and scale high-quality AI-powered applications that enhance operational efficiency and deliver measurable value
• Troubleshoot and Optimize: Identify and resolve AI-related issues, optimizing system performance and reliability
• Stay Current with AI Trends: Keep abreast of the latest developments in AI technologies and methodologies, applying new insights to enhance existing solutions
• Data Alignment: Ensure strong alignment between AI models and data requirements, working closely with data teams to manage data pipelines and data quality
• Documentation and Best Practices: Maintain comprehensive documentation of AI models and applications, adhering to best practices in software development and AI ethics

Requirements:

• 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
• Bachelor's degree in Computer Science, Engineering, or a related field
• 0 to 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
• Technical Proficiency: Deep understanding of AI technologies and software development principles
• Innovative Thinking: Ability to think creatively, to design and implement innovative AI solutions
• Learning Agility: Quick learner who stays updated with emerging AI trends and technologies
• Collaboration: Strong team player who works effectively with cross-functional teams
• Attention to Detail: Meticulous in writing code and testing to ensure high-quality outputs
• Adaptability: Flexible and adaptable to changing project requirements and priorities
• Communication Skills: Clear and effective communicator, capable of articulating complex technical concepts to non-technical stakeholders
• Knowledge of the healthcare industry and regulatory considerations is preferred