Note: The job is a remote job and is open to candidates in USA. Humana is a healthcare company seeking a Lead Software Engineer - AI to design and own the architecture of advanced AI systems. The role focuses on LLM-powered clinical tools, RAG pipelines, model evaluation and fine-tuning, cross-functional product collaboration, and HIPAA-compliant responsible AI deployment.
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. Make and communicate foundational technical decisions in close collaboration with the broader engineering team
- 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
- B.S. or M.S. 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 implementing custom LLM and agent evaluation frameworks, including automated eval pipelines, benchmark construction, and output quality assessment at scale
- 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)
- The candidate must live close to one of our designated IT locations: NYC, NY; Louisville, KY; Tampa, FL; Fort Lauderdale, FL; Dallas/Frisco, TX; Boston, MA; Washington, D.C: Atlanta, GA, Nashville, TN, Chicago, IL, or Charlotte, NC
- Experience in healthcare, clinical informatics, or other highly regulated industries
- Exposure to clinical NLP, medical coding, or EHR/FHIR data standards
- Experience operating AI systems at scale on cloud platforms (AWS, Azure, or GCP)
Benefits
- Bonus incentive plan based upon company and/or individual performance
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) retirement savings plan
- Paid time off
- Company holidays
- Personal holidays
- Paid parental leave
- Paid caregiver leave
- Short-term disability
- Long-term disability
- Life insurance
Company Overview
Company H1B Sponsorship