J
Director, AI Engineering
Jobtailor
2 hours ago
Full-time
On-site
Brooklyn, New York, United States
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 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 foster a culture of experimentation, humility, and excellence
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 design reusable components for complex challenges on the agentic AI platform
Lead development involving LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxies/gateways, and observability
Solve highly complex problems with long-term impacts
Requirements
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
Core Competencies Demonstrates expertise in leading AI engineering teams and developing enterprise-scale agentic AI capabilities, with a strong focus on machine learning frameworks, cloud platforms, and strategic planning.
Highest-signal resume keywords
AI/ML Engineering
Leadership Experience
Machine Learning Frameworks
Cloud Platforms
Strategic Planning
Hard Skills
Machine Learning
TensorFlow
PyTorch
Python
LLM Orchestration
CI/CD
Automated Testing
Observability
Incident Response
Evaluation Techniques
Soft Skills
Communication Skills
Analytical Skills
Problem-Solving Skills
Mentoring
Collaboration
Certifications & Qualifications
Ph.D. in Computer Science
Master’s in Engineering
Industry Keywords
Agentic AI
Enterprise Architecture
Data Engineering
DevOps
Generative AI
Tools & Technologies
AWS
Azure
GCP
Open-Source Tooling
Experiment Tracking
#J-18808-Ljbffr
Lead and grow a team of AI engineers building foundational services, frameworks, and tools for agentic AI applications
Stay current with generative AI 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 foster a culture of experimentation, humility, and excellence
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 design reusable components for complex challenges on the agentic AI platform
Lead development involving LLM orchestration frameworks, experiment tracking, evaluation pipelines, model proxies/gateways, and observability
Solve highly complex problems with long-term impacts
Requirements
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
Core Competencies Demonstrates expertise in leading AI engineering teams and developing enterprise-scale agentic AI capabilities, with a strong focus on machine learning frameworks, cloud platforms, and strategic planning.
Highest-signal resume keywords
AI/ML Engineering
Leadership Experience
Machine Learning Frameworks
Cloud Platforms
Strategic Planning
Hard Skills
Machine Learning
TensorFlow
PyTorch
Python
LLM Orchestration
CI/CD
Automated Testing
Observability
Incident Response
Evaluation Techniques
Soft Skills
Communication Skills
Analytical Skills
Problem-Solving Skills
Mentoring
Collaboration
Certifications & Qualifications
Ph.D. in Computer Science
Master’s in Engineering
Industry Keywords
Agentic AI
Enterprise Architecture
Data Engineering
DevOps
Generative AI
Tools & Technologies
AWS
Azure
GCP
Open-Source Tooling
Experiment Tracking
#J-18808-Ljbffr