Senior Full Stack Engineer u2013 AI Enablement

Become a part of our caring community and help us put health first 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 Humanau2019s strategic AI initiatives. Key Responsibilities + 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 DevOps within the team. Use your skills to make an impact Required Qualifications + Bacheloru2019s 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 DevOps practices and enterprise platforms (Azure DevOps, GitHub). + 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. Preferred Qualifications + Masteru2019s 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, CloudFormation). + 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

Created: 2025-11-24