Lead Software Engineer

The Lead Software Engineer standardizes the quality assurance procedure for software. Oversee testing and debugging and develops fixes. Research complaints and make necessary adjustments and/or recommendations to resolve complex software related issues. Advise executives to develop functional strategies (often segment specific) on matters of significance. Exercise independent judgment and decision making on complex issues regarding job responsibilities and related tasks, and works under minimal supervision, Uses independent judgment requiring analysis of variable factors and determining the best course of action.

• MVP and Product Ownership: Own AI products from initial concept through MVP, pilot, and production readiness. Define the product and technical approach, make pragmatic scope decisions, and take direct responsibility for delivering solutions that create measurable value for clinicians, members, and internal teams.
• Rapid Prototyping and Iteration: Build and launch proofs of concept and working MVPs quickly. Use feedback, experimentation, and real-world usage data to validate assumptions, refine requirements, and continuously improve product capabilities.
• 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, AI features.
• Technical Decision-Making and Delivery: Make and clearly communicate foundational architecture and technology decisions while balancing speed, scalability, maintainability, and operational risk. Establish lightweight engineering practices that enable rapid delivery without compromising quality.
• 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.

• B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)
• 8+ years of software engineering experience
• 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)
• Experience collaborating with Product Management to shape product direction, gather requirements, and lead the design and development of scalable, customer-focused applications.
• Experience rapidly building prototypes using agent coding harnesses (claude code, codex, etc)

• Experience in healthcare, clinical informatics, or other highly regulated industries
• Experience designing and implementing custom LLM and agent evaluation frameworks, including automated eval pipelines, benchmark construction, and output quality assessment at scale
• Exposure to clinical NLP, medical coding, or EHR/FHIR data standards
• Experience operating AI systems at scale on cloud platforms (AWS, Azure, or GCP)

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It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Originally posted on Himalayas