Lead AI Engineer: End-to-End LLM Architect (Remote)

Humana; Nashville (TN); On-site; USD 155,000 - 213,000; Full time

Benefits offered by this job

Bonus incentive

Medical benefits

401(k) retirement plan

Paid time off

Job summary

Humana is seeking a Lead Software Engineer to architect end-to-end AI systems for CenterWell, overseeing LLM-based tools, RAG pipelines, and multi-agent workflows. The role requires designing scalable, secure AI capabilities in a regulated healthcare environment.

You will partner with product, clinical teams and data stakeholders to translate care delivery needs into concrete AI features, while ensuring privacy, safety, and compliance across platforms and clouds.

Qualifications

• BS or MS in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of software engineering experience, with 4+ years focused on production AI/ML systems
• Deep, hands-on experience building with large language models and orchestration frameworks (LangChain, LlamaIndex, or equivalent)
• Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)
• Proven experience designing and deploying RAG pipelines and vector search systems in production
• Working knowledge of model fine-tuning approaches (LoRA, RLHF, instruction tuning, or equivalent)
• Experience designing and building multi-agent AI systems, including agent orchestration, tool use, and sandboxed execution environments
• Demonstrated ownership of complex AI systems end-to-end, from architecture through production operation
• Understanding of HIPAA requirements and secure handling of protected health information (PHI)
• Strong written and verbal communication skills across technical and non-technical audiences
• Hands-on experience with AI-assisted development tools and LLM coding harnesses (Claude Code, Pi Agent, Cursor, Codex, or similar)

Responsibilities

• Technical Architecture and Ownership: Design and own the end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation.
• Model Development and Fine-Tuning: Evaluate, select, and where appropriate guide the fine-tuning of foundation models. Establish model evaluation frameworks that prioritize safety, accuracy, and clinical relevance.
• Clinical and Product Partnership: Collaborate closely with product managers, designers, clinicians, and data stakeholders to understand care delivery workflows and translate them into well-scoped, high-impact AI features.
• HIPAA Compliance and Responsible AI: Ensure all AI systems are designed, deployed, and monitored in compliance with HIPAA and Humana's Responsible AI standards, including participation in AIRB and Responsible AI Council review processes where applicable.

Skills

AI/ML systems

Python

Typescript

LLM development

RAG pipelines

Vector search

Multi-agent AI

PHI HIPAA awareness

Education

BS/MS in CS/Engineering

Tools

LangChain

LlamaIndex

PyTorch

Hugging Face

Claude Code

Pi Agent

Job description

Humana is seeking a Lead Software Engineer to architect end-to-end AI systems for CenterWell, overseeing LLM-based tools, RAG pipelines, and multi-agent workflows. The role requires designing scalable, secure AI capabilities in a regulated healthcare environment.

You will partner with product, clinical teams and data stakeholders to translate care delivery needs into concrete AI features, while ensuring privacy, safety, and compliance across platforms and clouds.