Director, AI Engineering

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We are seeking an accomplished Director of AI Engineering to lead the strategy, architecture, and delivery of enterprise-scale agentic AI capabilities within Humana's AI platform. This leader will drive the development of foundational AI services, frameworks, and platforms that enable the organization to rapidly build, deploy, and scale next-generation AI solutions across diverse business domains.

The ideal candidate combines deep technical expertise in AI/ML engineering with proven leadership experience in building high-performing engineering organizations. They will influence enterprise AI strategy, partner with senior technology leaders across architecture, security, data, and product teams, and establish the technical vision required to accelerate adoption of agentic AI while ensuring scalability, security, reliability, and business impact.

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

This is a Hybrid office position where employees primarily operate from the company office with occasional work from home to support focus work and work/life balance needs. Designated Tech Market locations for this role: New York City; Louisville, KY; Dallas, TX.

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Scheduled Weekly Hours

40

Pay 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.

$189,400 - $260,500 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

About Us

About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

​ Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.