Senior Manager, Forward-Deployed AI Engineering

EY; Palo Alto (CA); Hybrid; USD 144,000 - 359,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is hiring for a Forward Deployed AI Engineer Senior Manager to lead client-aligned AI engineering work across AI, data and cloud platforms. You will diagnose opportunities, shape AI strategies, and deliver scalable, end-to-end AI solutions with diverse teams.

You’ll supervise production-grade ML and generative AI deployments, while guiding architecture decisions and ensuring governance, observability, and cost management across client environments.

Qualifications

• Bachelor’s degree or MS in Computer Science, Data Science, or related field; advanced degrees welcome.
• 8–10+ years of professional consulting or engineering leadership experience.
• Experience deploying foundation models, generative AI, and agentic AI frameworks.
• Proficiency with ML workflows, Python, and ML libraries.
• Experience with CI/CD and DevOps practices.
• Ability to lead multidisciplinary teams and manage client engagements.

Responsibilities

• Lead end-to-end delivery of production-grade ML and AI solutions for clients.
• Diagnose opportunities, shape and engineer AI strategies at scale.
• Provide technical guidance and mentorship to diverse engineering teams.
• Collaborate with Data Scientists, Cloud Engineers, and DevOps to operationalize AI systems.
• Establish governance, observability, and cost-management standards for AI platforms.

Skills

Python

Leadership

MLOps

DevOps

Consulting

Education

Bachelor’s degree, or MS in Computer Science or related

Tools

GIT

Jira

Azure DevOps

Job description

EY is hiring for a Forward Deployed AI Engineer Senior Manager to lead client-aligned AI engineering work across AI, data and cloud platforms. You will diagnose opportunities, shape AI strategies, and deliver scalable, end-to-end AI solutions with diverse teams.

You’ll supervise production-grade ML and generative AI deployments, while guiding architecture decisions and ensuring governance, observability, and cost management across client environments.