Client-Facing AI Engineer Manager

EY; City of Rochester (NY); Remote; USD 126,000 - 251,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Forward Deployed Engineer Manager in the US to lead AI/ML engagements with clients, delivering scalable AI, ML, and agentic solutions across cloud and on-prem environments. You will advance data pipelines, model evaluation, and responsible deployment while mentoring diverse teams.

You will collaborate with clients, researchers, and engineers to drive discovery, design, and delivery, ensuring governance and observability. A strong foundation in math, statistics, and software eng.

Qualifications

• Bachelor’s degree required (4-year degree).
• 6–10 years of relevant AI/DS/ML experience.
• 2–4 years of direct technical team management.

Responsibilities

• Lead client-embedded AI workstreams from opportunity through deployment and optimization.
• Redesign processes for human-AI collaboration and continuous delivery improvement.
• Manage lean, multidisciplinary teams delivering complex AI initiatives with architecture touchpoints.
• Build trust with stakeholders, lead product and agile delivery from planning to closure.
• Identify adjacent use cases and support solutions demonstrations and proposals.
• Define architecture and guide hands-on development of agentic workflows and integrations.
• Establish governance, security, and responsible operation of AI systems.
• Coach teams on AI-native development tools (Claude, Codex, Cursor, GitHub) to boost delivery speed without compromising quality.

Skills

Python

Cloud platforms

NLP

ML engineering

MLOps

Agentic AI

Data pipelines

GitHub / DevOps

JavaScript / cross-disciplinary

Team leadership

Education

Bachelor’s degree

Tools

Claude

Codex

Cursor

GitHub

Job description

EY is seeking a Forward Deployed Engineer Manager in the US to lead AI/ML engagements with clients, delivering scalable AI, ML, and agentic solutions across cloud and on-prem environments. You will advance data pipelines, model evaluation, and responsible deployment while mentoring diverse teams.

You will collaborate with clients, researchers, and engineers to drive discovery, design, and delivery, ensuring governance and observability. A strong foundation in math, statistics, and software eng.