Hybrid Senior Manager - Forward-Deployed AI Engineering

EY; Chantilly (VA); Hybrid; USD 144,000 - 329,000; Full time

Job summary

EY is seeking a Forward Deployed Engineer Senior Manager to lead cross‑functional AI and data engineering teams in client engagements. You will translate AI strategy into scalable production systems, guide model deployment and governance, and work with data scientists, cloud engineers, and DevOps to deliver impact at scale.

You will help shape the future of AI through hands-on leadership, advanced analytics, and responsible AI practices across diverse client environments.

Qualifications

• Bachelor’s or MS in Business, Computer Science, Data Science, or ML.
• 8–10+ years of professional consulting or engineering leadership preferred.
• Proven experience delivering production-grade ML and AI solutions at scale.
• Experience with MLOps, LLMOps, and AgentOps frameworks.
• Strong Python and DevOps tooling skills.
• Ability to lead diverse teams in hybrid environments.

Responsibilities

• Lead forward-deployed AI engineering teams to deliver production-grade ML/AI solutions.
• Define and execute scalable AI strategy and Model Engineering roadmaps.
• Guide clients on AI governance, observability, and cost management for AI systems.
• Collaborate with Data Scientists, Cloud Engineers, and platform teams across client environments.
• Drive client engagements, proposals, and delivery economics for AI work.

Skills

AI strategy

Model engineering roadmap

Team leadership

Python

CI/CD

DevOps

MLOps

LLMOps

AgentOps

OpenAI family

Education

Bachelor’s or MS in Computer Science / Data Science / ML / related field

Tools

GIT

Azure DevOps

Jira

Docker

Kubernetes

MLFlow

Langchain

Claude

Codex

Cursor

GitHub

Job description

EY is seeking a Forward Deployed Engineer Senior Manager to lead cross‑functional AI and data engineering teams in client engagements. You will translate AI strategy into scalable production systems, guide model deployment and governance, and work with data scientists, cloud engineers, and DevOps to deliver impact at scale.

You will help shape the future of AI through hands-on leadership, advanced analytics, and responsible AI practices across diverse client environments.