AI Product Engineer; CMH Health

Position: AI Product Engineer (CMH Health)
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.

Milliman is seeking an AI Software Engineer who is passionate about developing and integrating cutting-edge AI technologies into healthcare applications. This individual will collaborate with a diverse team of data scientists, engineers, and healthcare professionals to build AI-powered solutions that drive value for our clients and stakeholders. The ideal candidate possesses strong technical expertise in AI and software development, excellent problem-solving skills, and a deep understanding of how AI can transform business processes within the healthcare industry.

Who We Are The beginning of a new Data & AI decade that will reshape work and society has begun. Milliman is stepping boldly into this future with a clear goal of reinventing how we and our clients conduct business with data & AI.With over 5,000 professionals serving our clients to protect the health and financial well-being of people everywhere, Milliman's focus on AI brings together our technologists, consultants, and professionals in every corner of the healthcare ecosystem.

Independent for over 75 years, 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.

Job 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.

Minimum requirements

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 Lang Chain, OpenAI, Llama Index, Prompt Flow, 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 that Support Success in this Role 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…