Lead Full Stack Engineer

Humana • Washington, DC

1d • $129,300 - $177,800 • Hybrid

About The Position

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; or Chicago, IL.

Requirements

• Bachelor’s degree in Computer Science or a related field
• 8+ years of progressive IT experience, including senior-level software engineering experience on large-scale technology initiatives
• 2+ years of project or technical leadership experience
• Demonstrated ability to lead significant design and development efforts with minimal supervision
• Experience building scalable web platforms, enterprise applications, and highly available web services
• Strong full stack engineering experience across modern front-end and back-end technologies
• Tech lead-level proficiency in one or more programming languages and frameworks such as TypeScript, Node.js, Java, Spring/Spring Boot, Vue.js, Angular, or similar
• Experience with React Native
• Experience with JSON, RESTful web services, client-server interactions, and microservices patterns
• Experience designing solution architecture and delivering secure, scalable cloud-native systems
• Knowledge of Azure Cloud Services or equivalent cloud platforms
• Experience with infrastructure and security as code
• Experience with containerization and orchestration technologies such as Docker, Kubernetes, and AKS
• Demonstrated experience with machine learning and artificial intelligence development operations, including implementing, maintaining, and monitoring ML/AI pipelines using industry-standard tools and frameworks
• Strong understanding of Agentic AI concepts and processes
• Ability to work effectively with incomplete and evolving requirements, using sound judgment and technical insight to drive progress
• Strong communication and presentation skills with technical and non-technical stakeholders
• Experience collaborating with governance and review bodies and cross-functional teams in enterprise environments
• Experience working within Centers of Excellence (COEs) and executing established playbooks
• Strong time management skills and the ability to deliver high-quality outcomes on schedule
• Comfortable giving and receiving feedback across engineering teams and broader organizational stakeholders

Nice To Haves

• Master’s degree in Computer Science, Engineering, or a related field
• Experience with Adobe Experience Platform
• Experience with Generative AI tools and AI platforms on GCP, Azure, or other cloud environments
• Background in forward-deployed engineering, consulting-style delivery, or embedded enterprise solution development
• Experience integrating AI solutions into real-world business workflows while accounting for compliance, operational constraints, and enterprise standards

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 distributed services using approved enterprise technology patterns
• Lead by example through hands-on engineering across platform, backend, frontend, and mobile technologies
• Mentor and coach a small team of high-performing engineers, fostering technical excellence, accountability, and continuous improvement
• Review code, pull requests, and architecture decisions, providing constructive and actionable feedback
• Evaluate problems strategically and tactically, using strong problem-solving skills, data structures, and algorithms to determine the best course of action
• Partner with senior business and functional leaders to define technical direction and support enterprise decision-making
• Collaborate with architecture, review, and governance teams, including ARB/TRB and EA/EAI stakeholders, to align solutions with enterprise standards
• Support implementation of Cloud 3.0 and modernization design patterns, including onboarding, development readiness, deployment, troubleshooting, and security alignment
• Ensure solutions comply with enterprise processes for architecture review, AI governance, cloud onboarding, and operational readiness
• Investigate and recommend new technologies, frameworks, tools, and engineering practices that improve speed, quality, scalability, and maintainability
• Optimize systems based on stakeholder and user feedback, and document workflows and implementation details for operational handoff and long-term support
• Contribute insights from delivery experiences back to internal product, platform, and architecture teams to improve reusable enterprise capabilities
• Use your skills to make an impact

Benefits

• medical, dental and vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior