Remote Senior Manager, Forward‑Deployed AI Engineering

EY; Milwaukee (WI); Hybrid; USD 144,000 - 374,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

401(k) plan

Paid time off

Job summary

EY seeks a Forward Deployed AI Engineer Senior Manager to lead cross‑functional teams delivering complex AI and ML solutions for diverse clients. You will translate client ambitions into scalable AI deployments, supervise end‑to‑end model lifecycle, and drive measurable business value in a hybrid on-site/remote environment.

You will work with data scientists, cloud engineers, MLOps, and platform engineers, applying deep technical and business understanding to shape and operationalize AI at scale.

Qualifications

• Bachelor’s degree in a relevant field.
• 8–10+ years of professional consulting experience in business or technology consulting.
• 3–5+ years of experience directly managing technical/consulting teams.
• Experience deploying foundation models, generative AI, and agentic AI frameworks.
• Experience with ML packages (scikit-learn, PyTorch, ONNX).
• Experience using DevOps tools (Git, Azure DevOps) and Jira.
• Solid understanding of ML workflows, data science, and software engineering.

Responsibilities

• Lead lean, client-embedded AI engineering teams delivering production-grade ML and AI solutions.
• Diagnose opportunities, shape, engineer, operationalize and scale AI strategy for clients.
• Provide guidance on AI-native development tools (Claude, Codex, Cursor, GitHub) and MLOps/LLMOps/AgentOps.
• Collaborate with Data Scientists, Cloud Engineers, MLOps, DevOps to deploy on client platforms.
• Maintain awareness of AI trends, regulatory requirements, and client data landscapes.

Job description

EY seeks a Forward Deployed AI Engineer Senior Manager to lead cross‑functional teams delivering complex AI and ML solutions for diverse clients. You will translate client ambitions into scalable AI deployments, supervise end‑to‑end model lifecycle, and drive measurable business value in a hybrid on-site/remote environment.

You will work with data scientists, cloud engineers, MLOps, and platform engineers, applying deep technical and business understanding to shape and operationalize AI at scale.