Director, AI Engineering
HumanaAbout the role
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We’re looking for an experienced and passionate Director of AI Engineering to lead a team focused on building agentic AI capabilities and solutions within Humana’s agentic AI platform. This role is ideal for a hands-on technical leader who understands the complexities of building production-ready machine learning systems and is excited about accelerating the adoption and impact of agentic AI across diverse business domains.Key Responsibilities
Team Leadership: Lead and grow a team of AI engineers building foundational services, frameworks, and tools for agentic AI applications—enabling consistent, scalable, and cost-effective development across the organization
Industry Expertise: Stay current with industry trends in generative AI (e.g., foundation models, evaluation techniques, retrieval-augmented generation, fine-tuning approaches, and open-source tooling) and help the team apply them effectively
Cross-Functional Collaboration: Drive cross-functional alignment with enterprise architecture, security, data engineering, DevOps, and application leads to ensure the generative AI platform is well-integrated and aligned with broader enterprise goals
Mentorship: Mentor and coach AI engineers, helping them grow their technical skills and career paths while fostering a culture of experimentation, humility, and excellence
Engineering Practices: Ensure strong engineering practices including CI/CD, automated testing, observability, and incident response for all services owned by the team
Strategic Planning: Define and drive strategic plans, goals, and team performance based on company-wide agentic AI initiatives, balancing near-term needs with long-term platform investments
System Design: Lead collaboration with application teams to understand their needs and design systems which solve complex challenges with reusable components on the agentic AI platform (e.g., LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxy/gateways, observability, etc.)
Problem Solving: Work with broad guidelines and technical knowledge to solve highly complex problems with long-term impacts
Use your skills to make an impact
Required Qualifications
- Advanced degree (Ph.D. or Master’s) in Computer Science, Engineering, or a related field.
- 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership role.
- Technical Skills: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), Python, and cloud platforms (e.g., AWS, Azure, GCP).
- Proven track record of leading and growing high-performing engineering teams.
Preferred Qualifications
- Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Strong analytical and problem-solving skills, with the ability to think strategically and execute methodically.
Additional information
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
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