Senior AI/ML Engineering Manager — Client-Focused

EY; San Mateo (CA); Remote; USD 157,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking a Manager in Model Engineering to lead AI workstreams, design scalable AI/ML solutions, and guide teams across diverse client projects. The role emphasizes responsible deployment, collaboration, and delivering high-value analytics in a fast-paced environment.

You will work with clients worldwide, advancing modern AI engineering, ML, and generative AI technologies. A strong focus on leadership, communication, and continuous learning is expected.

Qualifications

• Bachelor's degree required (4-year degree).
• 6–10 years of full-time AI, data science, and/or ML experience.
• 2–4 years of experience directly managing technical teams.
• Strong skills in Python and cloud-based AI/ML.
• Experience designing production AI/ML solutions on major cloud platforms.
• Proficient in foundation models and agentic AI frameworks.
• Experience with DevOps, CI/CD, and ML workflows.

Responsibilities

• Lead AI workstreams from design to production deployment and optimization.
• Improve processes through research and analysis of innovative solutions.
• Manage multidisciplinary teams delivering AI engineering initiatives with quality and responsible deployment.
• Engage with clients in daily sessions and lead workstreams end-to-end.
• Identify opportunities for additional services and manage engagement economics.

Skills

Python

ML engineering

DevOps

CI/CD

MLOps

Langchain

PyTorch

scikit-learn

SQL

Pandas

Spark

GPT/LLM tooling

Education

Bachelor's degree

Tools

OpenAI

DALL-E

LangChain

Retrieval Augmented Generation (RAG)

Git

Azure DevOps

Jira

Job description

EY is seeking a Manager in Model Engineering to lead AI workstreams, design scalable AI/ML solutions, and guide teams across diverse client projects. The role emphasizes responsible deployment, collaboration, and delivering high-value analytics in a fast-paced environment.

You will work with clients worldwide, advancing modern AI engineering, ML, and generative AI technologies. A strong focus on leadership, communication, and continuous learning is expected.