Director of AI Engineering: Enterprise AI Leader

New York Life; New York (NY); On-site; USD 148,000 - 211,000; Full time

Job summary

New York Life seeks a Director of AI Engineering to lead an AI transformation within the AI & Data organization. This senior, hands-on role designs, builds, and delivers end-to-end AI solutions across ML, Generative AI, and agentic AI, while guiding strategy and mentoring a growing team.

You will partner with data scientists, engineers, and business stakeholders to scope, design, and quantify value, shipping solutions on the enterprise AI platform with strong emphasis on responsible AI and

Qualifications

• Advanced degree in CS/AI/Engineering or related quantitative field.
• 8+ years applying data science, ML, and AI to real business problems.
• Proficient with AI-assisted engineering tools and agentic systems.

Responsibilities

• Lead AI/ML and GenAI initiatives end-to-end with cross-functional teams.
• Own end-to-end delivery, deployment, and production monitoring of AI solutions.
• Design and deploy agentic AI systems with multi-agent orchestration.
• Lead technical decisions across AI stack and cloud platforms.
• Provide mentoring and technical leadership to data scientists and AI engineers.

Skills

8+ years AI/ML experience

Python/SQL/JavaScript

LLMs and RAG

Agentic AI design

Cloud AI platforms

Mentoring teams

Stakeholder engagement

Production AI delivery

Education

MS or PhD in CS/AI/Engineering/Math or related field

Tools

LangGraph

MCP

Databricks

Streamlit

React

Docker

Kubernetes

Job description

New York Life seeks a Director of AI Engineering to lead an AI transformation within the AI & Data organization. This senior, hands-on role designs, builds, and delivers end-to-end AI solutions across ML, Generative AI, and agentic AI, while guiding strategy and mentoring a growing team.

You will partner with data scientists, engineers, and business stakeholders to scope, design, and quantify value, shipping solutions on the enterprise AI platform with strong emphasis on responsible AI and