Lead enterprise architecture, design, and engineering for agentic AI platforms, ensuring secure, scalable, and reliable infrastructure
Build and maintain developer tools, CI/CD pipelines, and automation for efficient agentic AI application development and deployment
Architect and manage cloud-based AI services (GCP preferred), including Kubernetes, security controls, and observability systems
Develop robust backend APIs and services in Python to support agentic AI platform functionality and data management
Collaborate with cross-functional teams, set engineering standards, mentor peers, and drive innovation aligned with Humana’s AI technology roadmap.

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.

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
many other opportunities

Principal AI Engineer

Key skills