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 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
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