Client-Facing AI Engineer & Model Lead

EY

San Jose (CA)

Remote

USD 157,000 - 262,000

Full time

1 hour ago
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Benefits offered by this job

Medical and dental coverage
Pension and 401(k)

Job summary

EY is seeking a Forward Deployed Engineer Manager to lead AI engineering engagements for clients, delivering scalable AI/ML solutions across cloud and on-prem environments. You will guide multi-disciplinary teams, design architectures, and ensure responsible deployment with strong stakeholder collaboration.

You will work closely with clients to diagnose problems, identify high-value AI opportunities, and deliver measurable outcomes while shaping a forward-deployed technical leadership role

Qualifications

  • Bachelor’s degree required and 6–10 years in AI/Data/ML fields.
  • 2–4 years of direct experience leading technical teams.
  • Strong Python and software engineering fundamentals.
  • Experience with cloud platforms and ML/DL frameworks.
  • Familiarity with MLOps, CI/CD, and responsible AI practices.

Responsibilities

  • Lead client-embedded AI workstreams from opportunity to deployment and value realization.
  • Redesign processes for human-AI collaboration and deliver rapid prototyping.
  • Manage lean, multidisciplinary teams across complex AI initiatives.
  • Lead client discovery, solutioning, and hands-on technical development.
  • Define solution architectures and guide agentic AI workflows and integrations.
  • Establish governance, observability, and risk controls for AI systems.
  • Coach teams on AI-native development tools to accelerate delivery.

Skills

Python
Leadership
Cloud platforms
Generative AI
MLOps
NLP / Deep Learning
Communication

Education

Bachelor’s degree
Master's degree (preferred)

Tools

Claude
Codex
Cursor
GitHub
Azure DevOps
Jira
CI/CD

Job description

EY is seeking a Forward Deployed Engineer Manager to lead AI engineering engagements for clients, delivering scalable AI/ML solutions across cloud and on-prem environments. You will guide multi-disciplinary teams, design architectures, and ensure responsible deployment with strong stakeholder collaboration.

You will work closely with clients to diagnose problems, identify high-value AI opportunities, and deliver measurable outcomes while shaping a forward-deployed technical leadership role

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