Hybrid Principal Applied AI Engineer

at Humana

• Job title: Principal Applied AI Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: $172,200 - $236,900 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Flask, Google Cloud Platform, GRPC, Kubernetes, Python
• Location requirements: Hybrid, United States

About the role

• Principal Applied AI Engineer shaping AI-powered healthcare systems for Humana. Leading design and architecture of generative AI solutions while mentoring engineering teams.

Responsibilities

• Lead the design and build of advanced generative AI systems, spanning LLM-powered applications, multi-agent workflows, RAG, and domain-specific reasoning engines.
• Architect and own robust APIs and platform capabilities that bring AI to real business workflows at enterprise scale.
• Drive the engineering of high-quality data, feature , and evaluation pipelines that support reliable and continuously improving AI behavior.
• Partner with data scientists, platform engineers, and product leaders to transform conceptual ideas into resilient, testable, observable production systems.
• Set engineering standards and elevate team culture, emphasizing clarity, craftsmanship, iteration, and objective measures of excellence.
• Mentor other engineers and guide teams through complex technical decision-making.
• Serve as a thought leader on the practical application of generative AI technologies, emerging patterns, and their fit within our ecosystem.
• Champion observability, measurement, and operational excellence, ensuring deployed systems are trustworthy, maintainable, and high-performing .
• Stay at the forefront of AI/ML advancements and help the organization understand the right time, and the right way, to adopt new technologies .

Requirements

• 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
• many other opportunities