Director, AI Engineering

Humana

. Lead the strategy, architecture, and delivery of enterprise-scale agentic AI capabilities within Humana’s AI platform .

Posted 10/20/2026full-timeUnited StatesLead💰 $189,400 - $260,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading AI engineering teams and delivering enterprise-scale agentic AI capabilities, with a strong focus on machine learning frameworks, cloud platforms, and strategic planning.

Highest-signal resume keywords

AI/ML EngineeringMachine Learning FrameworksLeadership ExperienceCloud PlatformsStrategic Planning

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTensorFlowPyTorchCI/CDAutomated TestingObservabilityIncident ResponseEvaluation TechniquesRetrieval-Augmented GenerationFine-Tuning Approaches

Soft Skills

Excellent Communication SkillsAnalytical SkillsProblem-Solving SkillsMentoringCollaboration

Tools & Technologies

AWSAzureGCP

Certifications & Qualifications

Ph.D. in Computer ScienceMaster’s in Engineering

Industry Keywords

Agentic AIEnterprise ArchitectureData EngineeringDevOpsOpen-Source Tooling

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead the strategy, architecture, and delivery of enterprise-scale agentic AI capabilities within Humana’s AI platform
Lead and grow a team of AI engineers building foundational services, frameworks, and tools for agentic AI applications
Stay current with generative AI industry trends, including foundation models, evaluation techniques, retrieval-augmented generation, fine-tuning approaches, and open-source tooling
Drive cross-functional alignment with enterprise architecture, security, data engineering, DevOps, and application leads
Mentor and coach AI engineers and support their technical and career growth
Ensure CI/CD, automated testing, observability, and incident response for team-owned services
Define and drive strategic plans, goals, and team performance for company-wide agentic AI initiatives
Collaborate with application teams to understand needs and design reusable systems for complex challenges on the agentic AI platform
Work with broad guidelines and technical knowledge to solve highly complex problems with long-term impacts

Requirements

What you’ll need

Advanced degree (Ph.D. or Master’s) in Computer Science, Engineering, or a related field
10+ years of experience in AI/ML engineering
At least 5 years in a leadership role
Proficiency in machine learning frameworks such as TensorFlow and PyTorch
Proficiency in Python
Proficiency in cloud platforms such as AWS, Azure, and GCP
Proven track record of leading and growing high-performing engineering teams
Excellent verbal and written communication skills
Ability to articulate complex technical concepts to non-technical stakeholders
Strong analytical and problem-solving skills
Ability to think strategically and execute methodically

Benefits

Comp & perks

Bonus incentive plan based on company and/or individual performance
Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Paid time off
Company holidays
Personal holidays
Paid parental leave
Paid caregiver leave
Short-term disability
Long-term disability
Life insurance
Personal wellness support
Healthcare decision support