Senior Full Stack Engineer – AI Enablement

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Humana is accelerating its transformation into an AI-enabled enterprise, and we are seeking a Senior Full Stack Engineer to join our AI Enablement Team. In this role, you will be a hands-on technical contributor, rapidly building, iterating, and deploying scalable AI-driven solutions that improve associate productivity and drive operational efficiency across the organization. You will collaborate with business and technology stakeholders to deliver high-impact projects and support Humana’s strategic AI initiatives.

• Design, development, and deployment of AI-powered solutions to automate agent workflows, enhance customer engagement, and improve operational efficiency.
• Build, scale, and integrate AI into enterprise processes through Symbio initiatives, supporting smarter decision-making across business units.
• Rapidly prototype and develop showcase-ready AI tools to demonstrate innovation and drive buy-in at leadership forums.
• Perform technical assessment and integration of AI hardware, ensuring compliance with security, performance, and regulatory standards for sensitive workloads.
• Provide technical guidance and support to contract engineers on AI projects, ensuring consistent delivery and high-quality standards.
• Collaborate closely with business partners to mature use cases and enable AI adoption across the enterprise.
• Mentor junior engineers and foster best practices in software engineering and Dev Ops within the team.

Use your skills to make an impact

• Bachelor’s degree in Computer Science, Computer Engineering, or related field (equivalent work experience accepted).
• 5 or more years of experience designing, developing, and testing of software applications and/or infrastructure.
• Demonstrated experience in developing applications using Python, .NET, and Java for end-user consumption, with responsibilities extending beyond model development or data analysis.
• Hands on Experience with deploying, fine-tuning, consuming LLM (AI Models).
• Must be able to demonstrate strong skills with modern tools and technologies such LLM, MCP, and other Gen AI tools.
• Demonstrated ability to work complex technical projects from conception to completion.
• Proficient in Agile/Scrum methodologies; experience performing lead engineer duties within agile teams.
• Solid understanding of front-end technologies (HTML, CSS, JavaScript) and modern frameworks (e.g., React, Angular).
• Experience with containerization and orchestration tools (Docker, Kubernetes).
• Extensive experience with Dev Ops practices and enterprise platforms (Azure Dev Ops, Git Hub).
• Proficiency in Git and repository management, including branching and environment management.
• Strong analytical and problem-solving skills; ability to troubleshoot and experiment with new technologies.

• Master’s degree in Computer Science, Engineering, or related discipline.
• Experience with cloud platforms (Azure, AWS, Google Cloud Platform).
• Hands‑on experience with Infrastructure as Code (IaC) tools (Terraform, Ansible, Cloud Formation).
• Experience with Artifactory for artifact repository management.
• Familiarity with AI and machine learning techniques applied to business use cases.
• Must be passionate about contributing to an organization focused on continuously improving consumer experience.
• Experience leading or mentoring development teams.
• Excellent verbal and written communication skills for technical discussions and leadership updates.
• Proven track record of effective cross‑functional collaboration.

For your awareness, if you are selected, the first‑round interview will consist of a "screen share" technical coding exercise. Please ensure you have the necessary tools and environment set up to facilitate this exercise.

Location
:
Louisville, KY (Remote & Flexible Work Arrangements Available)

Reporting To
:
Principal Engineer, AI Enablement

Organization: Enterprise Engineering Enablement (AI Enablement)

40

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week)…