Forward-Deployed AI Engineer & Model Lead

EY

Palo Alto (CA)

Remote

USD 157,000 - 262,000

Full time

9 hours ago
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Job summary

EY is seeking a Forward Deployed Engineer Manager to lead client-embedded AI workstreams, diagnose business problems, and deliver scalable AI/ML solutions across cloud and on-premises. You will enhance data pipelines, monitor learning processes, and own delivery through production in collaboration with data and analytics professionals.

You will guide teams, foster responsible AI practices, and drive observability, governance, and value realization while working with diverse, hybrid, and global

Qualifications

  • Bachelor’s degree required (4-year degree).
  • 6-10 years of relevant AI/Data Science/ML experience.
  • 2-4 years of experience directly managing technical teams.
  • Strong skills in Python.
  • Ability to lead, collaborate, and communicate with diverse, hybrid and global teams.
  • Experience deploying AI/ML solutions on a major cloud platform.
  • Proficient in foundation models, generative AI and agentic AI frameworks.
  • Experience with ML tools and DevOps (Claude, Codex, Cursor, GitHub, Azure DevOps).
  • Experience with MLOps, LLMOps, and model evaluatation workflows.

Responsibilities

  • Leading client-embedded AI workstreams from opportunity to deployment and optimization.
  • Redesigning client processes for human-AI collaboration and continuous improvement.
  • Managing lean, multidisciplinary teams to deliver complex AI engineering initiatives.
  • Building trust with stakeholders and leading agile delivery from planning to closure.
  • Identifying adjacent use cases and supporting solution demonstrations and proposals.
  • Defining solution architecture and guiding hands-on development of agentic workflows.
  • Establishing governance, access controls, and risk mitigations for secure operation of AI systems.
  • Using AI-native tools to increase delivery speed without compromising quality.

Skills

Python
Team leadership
Client engagement
Cloud platforms
Generative AI
MLOps
CI/CD
Communication skills
Travel willingness

Education

Bachelor’s degree

Tools

Claude
Codex
Cursor
GitHub
Azure DevOps
Langchain
PyTorch
scikit-learn
RAG

Job description

EY is seeking a Forward Deployed Engineer Manager to lead client-embedded AI workstreams, diagnose business problems, and deliver scalable AI/ML solutions across cloud and on-premises. You will enhance data pipelines, monitor learning processes, and own delivery through production in collaboration with data and analytics professionals.

You will guide teams, foster responsible AI practices, and drive observability, governance, and value realization while working with diverse, hybrid, and global

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