Lead Full Stack Engineer

Humana • Washington, DC

1d • $129,300 - $177,800 • Hybrid

About The Position

Humana is seeking a Lead Forward Deployment Engineer, AI Solutions to partner with business, product, architecture, and engineering teams to design, build, deploy, and scale AI-enabled digital solutions across enterprise environments. This role combines hands-on software engineering, solution architecture, stakeholder engagement, and production deployment. The Lead Forward Deployment Engineer will work across care navigation, benefits, and authenticated digital channels to understand business workflows, translate ambiguous needs into technical solutions, and deliver secure, scalable, production-grade applications. The ideal candidate is a senior full stack engineer with cloud-native, platform engineering, and AI/ML operations experience who thrives in complex enterprise environments.
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.
The Lead Forward Deployment Engineer, AI Solutions will serve as a senior technical leader. This leader will be embedded with business and technology partners to solve enterprise problems. The problems will be solved through software, data, cloud-native platforms, and AI-enabled capabilities. You will lead solution discovery, build prototypes and production-grade applications, support enterprise architecture and governance alignment, and scale solutions that improve digital experiences across care navigation, benefits, and authenticated channels. In this role, you will work across care navigation, benefits, and authenticated digital channels to understand business workflows, translate ambiguous needs into technical solutions, and deliver secure, scalable, production-grade applications.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• 8+ years of progressive IT experience, including senior-level software engineering experience on large-scale initiatives.
• 2+ years of project, technical leadership, or engineering lead experience.
• Strong full stack engineering experience across modern front-end, back-end, cloud, and platform technologies.
• Experience building scalable web platforms, enterprise applications, highly available services, and production-grade APIs.
• Experience implementing, maintaining, monitoring, or integrating ML/AI pipelines.
• Tech lead-level proficiency in one or more languages or frameworks such as TypeScript, Node.js, Java, Spring/Spring Boot, Vue.js, Angular, React, or similar technologies.
• Experience with React Native or mobile application development patterns.
• Experience with JSON, RESTful web services, client-server interactions, distributed systems, and microservices architecture.
• Experience designing secure, scalable, cloud-native systems.
• Knowledge of Azure Cloud Services or equivalent cloud platforms, infrastructure as code, security as code, and automated deployment practices.
• Experience with Docker, Kubernetes, AKS, or similar containerization and orchestration technologies.
• Strong understanding of Generative AI, Agentic AI concepts, AI-enabled workflow automation, and production considerations for AI solutions.

Nice To Haves

• Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Prior experience as a Forward Deployment Engineer, Solutions Engineer, Field Engineer, Technical Consultant, Solution Architect, or embedded enterprise engineering lead.
• Experience integrating AI solutions into business workflows while accounting for compliance, governance, operational constraints, security, and enterprise standards.
• Experience with Adobe Experience Platform.
• Experience with Generative AI tools, AI platforms, model orchestration frameworks, or AI services on Azure, GCP, or other cloud environments.
• Experience with Cloud 3.0, GitOps, Terraform, ArgoCD, AKS, or similar enterprise cloud modernization patterns.
• Experience implementing CI/CD pipelines using pipeline as code.
• Experience with secure software supply chain practices, dependency scanning, static code analysis, artifact management, and vulnerability remediation.
• Experience with observability, monitoring, incident response, and operational support for distributed systems.
• Experience working in healthcare, insurance, care navigation, benefits, member experience, or regulated enterprise environments.

Responsibilities

• Be a forward-deployed technical leader embedded with business, product, architecture, and engineering partners.
• Lead discovery, workflow analysis, technical scoping, and solution definition for digital and AI-enabled initiatives.
• Translate ambiguous needs into secure, scalable, production-ready technical solutions.
• Design, prototype, build, and deploy cloud-native applications, AI-enabled workflows, RESTful APIs, distributed services, and system integrations.
• Lead technical architecture, solution design, and engineering direction for business-critical platforms.
• Work across the full software development lifecycle, including front-end, back-end, APIs, databases, infrastructure, deployment, monitoring, and support.
• Partner with senior leaders to evaluate opportunities, define feasibility, prioritize approaches, and support decision-making.
• Build prototypes and proof-of-concepts to validate business value, user experience, feasibility, and integration complexity.
• Drive production implementation of AI-enabled solutions, including ML/AI pipeline integration, deployment patterns, observability, and operational readiness.
• Lead hands-on engineering across platform, backend, frontend, and mobile technologies.
• Mentor engineers and promote, accountability, and strong delivery practices.
• Review code, technical designs, pull requests, and architecture decisions.
• Collaborate with enterprise architecture, ARB/TRB, EA/EAI, AI governance, cloud onboarding, security, and operational readiness teams.
• Support Cloud 3.0 and modernization initiatives, including onboarding, deployment, troubleshooting, infrastructure alignment, and security compliance.
• Promote secure engineering practices, including CI/CD, pipeline as code, infrastructure as code, security as code, and secure software supply chain practices.
• Optimize deployed solutions using stakeholder feedback, operational data, user behavior, and production learnings.
• Document workflows, architecture decisions, deployment patterns, and support considerations.
• Identify reusable patterns, platform gaps, and enterprise capability improvements.

Benefits

• 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

What This Job Offers

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