Director, AI Engineering
About The Position
Humana is seeking a Director of AI Engineering to lead the strategy, architecture, and delivery of enterprise-scale agentic AI capabilities within its AI platform. The role drives development of foundational AI services, frameworks, and platforms that help the organization build, deploy, and scale AI solutions across business domains. The director will shape enterprise AI strategy and partner with senior technology leaders across architecture, security, data, and product teams to accelerate agentic AI adoption while supporting scalability, security, reliability, and business impact. The position leads and grows an AI engineering team, establishes strategic plans and engineering practices, and collaborates with application teams to design reusable platform components. It also involves staying current with generative AI developments, mentoring engineers, and solving complex problems with long-term impact.
Requirements
- Advanced degree (Ph.D. or Master’s) in Computer Science, Engineering, or a related field.
- 10+ years of experience in AI/ML engineering, including at least 5 years in a leadership role.
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch, Python, and cloud platforms such as AWS, Azure, or GCP.
- Proven track record of leading and growing high-performing engineering teams.
Nice To Haves
- Excellent verbal and written communication skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Strong analytical and problem-solving skills, with the ability to think strategically and execute methodically.
Responsibilities
- Lead and grow a team of AI engineers building foundational services, frameworks, and tools for agentic AI applications.
- Monitor generative AI industry trends, including foundation models, evaluation techniques, retrieval-augmented generation, fine-tuning approaches, and open-source tooling, and help the team apply them effectively.
- Align with enterprise architecture, security, data engineering, DevOps, and application leads to integrate the generative AI platform with broader enterprise goals.
- Mentor and coach AI engineers in technical development and career growth, fostering a culture of experimentation, humility, and excellence.
- Ensure strong engineering practices, including CI/CD, automated testing, observability, and incident response, for team-owned services.
- Define and drive strategic plans, goals, and team performance in support of company-wide agentic AI initiatives, balancing near-term needs with long-term platform investments.
- Collaborate with application teams to understand their needs and design reusable systems and components for the agentic AI platform, such as LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxies or gateways, and observability.
- Solve highly complex problems with long-term impacts using broad guidelines and technical knowledge.
Benefits
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) retirement savings plan
- Paid time off
- Company and personal holidays
- Paid parental and caregiver leave
- Short-term disability
- Long-term disability
- Life insurance
- Bonus incentive plan based on company and/or individual performance
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What This Job Offers
Job Type
Full-time
Career Level
Director
