Lead Software Engineer - AI

Quick Facts

• Scheduled Weekly Hours: 40
• Pay Range: $155,200 - $213,400 per year
• Bonus: Eligible for a bonus incentive plan based on company and/or individual performance

Description

The Lead Software Engineer codes software applications based on business requirements and works on problems of moderate to substantial complexity. The role standardizes the quality assurance process, oversees testing and debugging, researches complex software complaints, and recommends fixes. The Lead Software Engineer advises executives on functional strategies, uses independent judgment on complex issues, and works under minimal supervision.

Key Responsibilities

• Technical Architecture and Ownership: Design and own the end-to-end architecture of AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation; make foundational technical decisions in collaboration with engineering.
• Model Development and Fine-Tuning: Evaluate, select, and guide fine-tuning of foundation models; establish evaluation frameworks prioritizing safety, accuracy, and clinical relevance.
• Clinical and Product Partnership: Collaborate with product managers, designers, clinicians, and data stakeholders to understand care delivery workflows and translate them into scoped AI features.
• HIPAA Compliance and Responsible AI: Ensure AI systems are designed, deployed, and monitored to comply with HIPAA and Responsible AI standards; participate in AIRB and Responsible AI Council review processes where applicable.

Required Qualifications

• B.S. or M.S. in Computer Science, Engineering, or 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 and 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)

Preferred Qualifications

• 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)

Additional Information

• Candidate must live close to one of the 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.
• Work at home requirements: minimum internet download speed 25 Mbps and upload speed 10 Mbps; wireless, wired cable or DSL connection is suggested; work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
• Travel: occasional travel to offices for training or meetings may be required.

Benefits

Humana offers competitive benefits supporting whole-person well-being, including medical, dental and vision benefits; 401(k) retirement savings plan; time off (paid time off, company and personal holidays, paid parental and caregiver leave); short-term and long-term disability; life insurance; and other opportunities.