Humana is looking to accelerate its transformation into an AI-enabled enterprise and improve associate productivity, enhance customer engagement, and advance operational efficiency.
Requirements
- Demonstrated hands-on experience with LLMs (AI models): deployment, fine-tuning, and integration.
- Advanced programming skills in Python, .NET, and Java.
- Deep expertise in front-end technologies (HTML, CSS, JavaScript) and frameworks (React, Angular).
- Strong experience with containerization and orchestration tools (Docker, Kubernetes).
- Proven track record with DevOps practices and platforms (Azure DevOps, GitHub).
- Experience architecting and managing CI/CD pipelines and utilizing repository management tools.
- Proficiency in cloud platforms (Azure, AWS, or Google Cloud Platform).
Responsibilities
- Lead the design, development, and deployment of scalable, AI-powered solutions to automate agent workflows and improve enterprise operations.
- Architect and scale AI initiatives, integrating AI into enterprise processes for enhanced decision-making across business units.
- Rapidly prototype and deliver showcase-ready AI tools to demonstrate innovation and drive executive buy-in.
- Oversee technical assessment and integration of AI hardware, ensuring compliance with security, performance, and regulatory standards for sensitive workloads.
- Provide technical guidance and mentorship to contract engineers and junior team members engaged in AI projects, ensuring consistent, high-quality delivery.
- Collaborate with business and technology partners to mature use cases and facilitate AI adoption throughout the organization.
- Establish and promote best practices in software engineering, DevOps, and AI solution delivery across the team.
Other
- Bachelor's degree in computer science, Computer Engineering, or related discipline (or equivalent work experience).
- 7+ years of experience designing, developing, and testing enterprise software applications and infrastructure.
- Excellent communication skills for technical discussions, stakeholder presentations, and leadership updates.
- Demonstrated success in leading and mentoring development teams.
- Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
