Developing agent - based automation solutions using intelligent automation principles for enterprise systems integration and orchestration. Collaborating with teams to ensure solution scalability and reliability.
About the role
- Principal AI Engineer at Humana focused on enterprise platform strategy and AI systems design. Leading development of agentic AI platforms and influencing architectural direction.
Responsibilities
- Serves as a senior technical authority responsible for guiding Humana’s enterprise platform strategy and engineering execution
- Leads the design, development, and operation of foundational agentic AI platforms, tools, and services that empower development teams to build, deploy, and operate agent-driven applications efficiently, securely, and reliably
- Influences architectural direction for core infrastructure supporting agentic AI workloads
- Drives innovation in developer experience and automation—including agent orchestration and human-AI collaboration
- Mentors engineering teams, ensuring that platform solutions are robust, scalable, secure, and aligned with Humana’s enterprise agentic AI technology roadmap
- Evaluates, selects, and integrates foundational agentic AI technologies
- Builds and maintains robust CI/CD and agentic AI pipeline automation for automated testing, deployment, and release management
- Develops internal tools, APIs, and services that abstract agentic AI infrastructure complexity
Requirements
- 10+ years of total engineering experience
- Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field
- 10+ years of professional software or platform engineering experience
- Deep expertise in Python, including building production services and shared libraries used by others
- Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns
- Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management
- Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design
- Strong proficiency with cloud-native development on AWS, GCP, or Azure
- Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes)
- Production experience with CI/CD pipelines, version control, and modern DevOps practices
- Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions
Benefits
- medical, dental and vision benefits
- 401(k) retirement savings plan
- time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
- short-term and long-term disability
- life insurance and many other opportunities
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