Note: The job is a remote job and is open to candidates in USA. Humana is a leading U.S. healthcare company seeking a Lead Full Stack Engineer, AI Solutions to design, develop, and deploy scalable digital platforms and AI-enabled solutions. The role involves technical leadership in software development, mentoring engineers, and collaborating with stakeholders to deliver high-quality solutions that enhance business outcomes.
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
Skills
- 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
- 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
Benefits
- Bonus incentive plan
- 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
Company Overview