Lead enterprise design for agentic AI applications, ensuring secure, scalable, and reliable infrastructure. Build and maintain developer tools, CI/ CD pipelines, and automation for efficient agentic AI application development and deployment. Develope 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. Use your skills to make an impact Required Qualifications 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 Fast. API, Flask, or similar frameworks, and REST/g. RPC service design. Strong proficiency with cloud-native development on AWS, GCP, or Azure. Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes). Preferred Qualifications ?Experience with generative AI tooling (e.g., Lang. Chain, Llama. Index, Pydantic. AI, or similar). Strong understanding of deep learning frameworks (Py. Torch, Tensor. Flow). Experience with distributed systems (Akka, Flink, or similar). Prior work building platforms rather than one-off applications. A track record of pragmatic decision-making, balancing innovation with maintainability and long-term value.