Lead AI Architect for Healthcare with LLM & RAG

Humana; Texas; Remote; USD 155.000 - 213.000; Vollzeit

Benefits dieser Stelle

401(k) retirement savings

Paid time off

Health benefits

Disability and life insurance

Zusammenfassung

Humana is seeking a Lead Software Engineer to architect and own the end-to-end AI systems for Centerwell, including LLM-powered tools, RAG pipelines, and intelligent automation. You will guide model selection, evaluation, and production deployment while collaborating with product, clinicians, and data stakeholders to deliver high-impact features.

The role requires deep experience with Python, LangChain, LlamaIndex, and modern ML tooling, plus a strong focus on security, privacy, and scalable

Qualifikationen

• 8+ years of software engineering experience with 4+ years in production AI/ML systems.
• Hands-on with large language models and orchestration frameworks.
• Experience with RAG pipelines, vector search, and model fine-tuning approaches.
• Understanding of HIPAA and secure handling of PHI data.

Aufgaben

• Design and own end-to-end architecture of Centerwell's AI systems.
• Develop and fine-tune foundation models; establish evaluation frameworks.
• Collaborate with product, clinicians, and data teams to translate care workflows into AI features.
• Ensure HIPAA compliance and participate in Responsible AI reviews.
• Oversee testing, debugging, and production operation of AI solutions.
• Lead multi-agent AI system design, orchestration, and sandboxed execution environments.

Kenntnisse

Software engineering

AI/ML systems

Python

Typescript

LangChain

LlamaIndex

RAG pipelines

HIPAA

Communication skills

Multi-agent systems

Cloud platforms

Ausbildung

B.S. or M.S. in CS/Engineering

Tools

LangChain

LlamaIndex

PyTorch

Hugging Face

Jobbeschreibung

Humana is seeking a Lead Software Engineer to architect and own the end-to-end AI systems for Centerwell, including LLM-powered tools, RAG pipelines, and intelligent automation. You will guide model selection, evaluation, and production deployment while collaborating with product, clinicians, and data stakeholders to deliver high-impact features.

The role requires deep experience with Python, LangChain, LlamaIndex, and modern ML tooling, plus a strong focus on security, privacy, and scalable