Humana is looking to accelerate the adoption and impact of agentic AI across diverse business domains by building production-ready machine learning systems
Requirements
- Demonstrated experience in the selection of components of the technical stack, robust and scalable design patterns and building end to end software systems
- Experience leading the development of AI applications in large scale environments
- Experience leading the build out of development platforms targeted at AI developers
- Familiarity with foundation models, evaluation techniques, retrieval-augmented generation, fine-tuning approaches, and open-source tooling
- Experience with CI/CD, automated testing, and observability
- Experience with LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxy/gateways, and observability
- Experience with cloud-based technologies and containerization (e.g., Docker, Kubernetes)
Responsibilities
- Lead and grow a team of ML engineers building foundational services, frameworks, and tools for agentic AI applications—enabling consistent, scalable, and cost-effective development across the organization
- Collaborate with application teams to understand their needs and design reusable components and capabilities (e.g., LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxy/gateways, observability, etc)
- Contribute to drive the team roadmap based on company-wide agentic AI initiatives, balancing near-term needs with long-term platform investments
- Ensure strong engineering practices including CI/CD, automated testing, and observability for all services owned by the team
- Mentor and coach ML engineers, helping them grow their technical skills and career paths while fostering a culture of experimentation, humility, and excellence
- Drive cross-functional alignment with Enterprise Architecture, security, data engineering, DevOps, and application leads to ensure the generative AI platform is well-integrated, simple to use, and aligned with broader enterprise goals
- Stay current with industry trends in generative AI (e.g., foundation models, evaluation techniques, retrieval-augmented generation, fine-tuning approaches, and open-source tooling) and help the team apply them effectively
Other
- Bachelor's Degree in Computer Science, a Physical Science, or Engineering
- 6 or more years of technical experience
- 2 or more years of management experience
- Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
