Lead Full Stack Engineer, AI Solutions
Company: Humana
Location: Washington, DC (Remote)
Salary: $129.3k - $177.8k per year
Type: Full-time
Remote: Yes
Posted: 2026-07-07
About this role
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Humana is seeking a Lead Full Stack Engineer, AI Solutions to lead the design, development, and deployment of scalable digital platforms and AI-enabled solutions across enterprise environments. This role combines hands-on full stack engineering leadership with forward-deployed problem solving, partnering closely with business leaders, architects, and cross-functional teams to translate complex, evolving requirements into secure, production-grade systems.
The ideal candidate brings deep experience across front-end and back-end development, cloud-native architecture, platform engineering, and modern AI/ML operations. This person will lead technical direction, mentor engineers, and work directly with stakeholders to build high-quality solutions that improve business outcomes and align with enterprise standards, governance, and modernization initiatives.
This position requires a physical presence in one of the following market locations:
Louisville, KY, Dallas, TX, Washington, DC, and Chicago, IL.
Key Responsibilities
- Lead technical architecture, solution design, and engineering vision for business-critical platforms and AI-enabled applications
- Serve as a senior technical leader across all stages of software development, including front-end development, back-end development, database integrations, APIs, user experience, hosting, and server management
- Translate ambiguous business problems into scalable, production-ready solutions by partnering with business leaders, solution owners, and enterprise technology teams
- Drive discovery and workflow mapping to identify automation opportunities, evaluate technical feasibility, and define success metrics
- Design and prototype cloud-native and AI-enabled solutions, including application architecture, system integrations, deployment patterns, and operational models
- Build and deploy production-grade applications, RESTful APIs, AI/ML pipelines, and distri...