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Become a Part of Our Caring Community and Help Us Put Health First 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.

Key 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.

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Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 8+ years of progressive IT experience, including senior-level software engineering e