Senior Forward-Deployed AI Engineer & Strategy Leader

EY; Hoboken (NJ); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is hiring a Forward Deployed Engineer Senior Manager to lead cross-functional AI engineering initiatives for clients. You will guide lean, embedded teams to diagnose opportunities, design scalable AI solutions, and ensure value delivery across production-grade ML and agentic AI systems.

You will collaborate with Data Scientists, Cloud Engineers, and DevOps, applying MLOps and responsible AI practices while traveling to client sites as needed.

Qualifications

• Bachelor’s degree or MS in relevant field.
• 8-10+ years of professional consulting experience.
• 3-5+ years of experience directly managing technical teams.
• Experience with foundation models, generative AI, and agentic AI.
• Experience with ML packages such as scikit-learn, PyTorch and ONNX.
• Proficient with Git, Azure DevOps, and Jira for delivery.
• ML workflows, data science, and cloud platforms.
• Strong knowledge of AI ethics and Responsible AI.
• Excellent communication and leadership skills.
• Willingness to travel to client sites.

Responsibilities

• Lead forward-deployed AI engineers to deliver production-grade ML/AI solutions.
• Diagnose opportunities, shape AI strategy, and translate ambition into scalable solutions.
• Collaborate with Data Scientists, Cloud Engineers, MLOps, LLMOps, and DevOps teams.
• Establish evaluation, observability, security, and governance standards for AI systems.
• Develop reusable engineering patterns and accelerators for client engagements.
• Lead large client engagements and drive measurable outcomes.

Skills

Python

ML Ops

LLMOps

AgentOps

DevOps

Leadership

Client delivery

Cloud platforms

Data science

Education

Bachelor’s degree

MS degree

Tools

Git

Azure DevOps

Jira

Databricks

AWS

Job description

EY is hiring a Forward Deployed Engineer Senior Manager to lead cross-functional AI engineering initiatives for clients. You will guide lean, embedded teams to diagnose opportunities, design scalable AI solutions, and ensure value delivery across production-grade ML and agentic AI systems.

You will collaborate with Data Scientists, Cloud Engineers, and DevOps, applying MLOps and responsible AI practices while traveling to client sites as needed.