The Lead Software Engineer codes software applications based on business requirements. The Lead Software Engineer works on problems of diverse scope and complexity ranging from moderate to substantial.
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.
Use your skills to make an impact
Key Responsibilities
- 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.
Required Qualifications
- 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)
Preferred Qualifications
- 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)
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.About Us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
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.
Skills Required
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
- 8+ years of software engineering experience
- Hands-on experience building with large language models and orchestration frameworks such as LangChain or LlamaIndex
- Strong proficiency in Python, TypeScript, and modern machine learning tooling such as Hugging Face or PyTorch
- Experience designing and deploying production RAG pipelines and vector search systems
- Working knowledge of model fine-tuning approaches, including LoRA, RLHF, or instruction tuning
- Experience designing and building multi-agent AI systems with orchestration, tool use, and sandboxed execution
- Experience owning complex AI systems end-to-end from architecture through production operation
- Understanding of HIPAA requirements and secure handling of protected health information
- Strong written and verbal communication skills with technical and non-technical audiences
- Hands-on experience with AI-assisted development tools and LLM coding harnesses such as Claude Code, Pi Agent, Cursor, or Codex
- Experience collaborating with Product Management to shape product direction, gather requirements, and lead scalable application development
- Experience rapidly building prototypes using agent coding harnesses
- Experience in healthcare, clinical informatics, or another highly regulated industry
- Experience designing custom LLM and agent evaluation frameworks and automated evaluation pipelines
- Exposure to clinical NLP, medical coding, or EHR/FHIR data standards
- Experience operating AI systems at scale on AWS, Azure, or GCP
Humana Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Humana and has not been reviewed or approved by Humana.
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Healthcare Strength — Medical, dental, vision, supplemental health, and long-term care insurance are offered alongside on-site/virtual wellness resources and weekly paid well-being time, indicating a whole-person focus.
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Leave & Time Off Breadth — Paid PTO and holidays, volunteer time, and formal leave options such as parental and caregiver time provide broad time-away support. Adoption assistance and lactation rooms extend coverage for key life events.
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Retirement Support — A 401(k) with company match anchors long-term savings. Employer-matched emergency savings programs complement retirement planning.
Humana Insights
What We Do
At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms –when and where they need it. Our employees are at the heart of making this happen and that’s why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.
