Senior AI Engineering Leader — Forward-Deployed Consulting

EY; Arlington (VA); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks a Forward Deployed Engineer Senior Manager in the United States to lead cross-functional AI engineering initiatives across client engagements. You will translate AI strategy into production-grade solutions, guide multi-disciplinary teams, and ensure value delivery at scale.

The role combines hands-on engineering leadership with advisory responsibilities, working in a hybrid model (on site and remote) across diverse client environments, driving innovation, governance, and successful

Qualifications

• Bachelor’s or MS degree in a technical field with strong analytical skills.
• 10+ years of professional experience in consulting or technology roles.
• Proven leadership of technical teams delivering AI/ML solutions at scale.
• Experience with foundation models, MLOps, and GenAI toolchains is a plus.
• Strong communication and stakeholder management across diverse teams.

Responsibilities

• Lead forward-deployed AI engineering teams on client engagements.
• Translate AI strategy into production-grade, scalable solutions.
• Drive value delivery, governance, and operational excellence for AI programs.
• Collaborate with data scientists, cloud engineers, and platform teams.

Skills

Python

ML/AI

Data Analysis

Leadership

DevOps

Jira

GIT / version control

Cloud computing

Education

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

Tools

Git

Azure DevOps

Jira

AWS/Azure/GCP

Containerization (Docker/Kubernetes)

Job description

EY seeks a Forward Deployed Engineer Senior Manager in the United States to lead cross-functional AI engineering initiatives across client engagements. You will translate AI strategy into production-grade solutions, guide multi-disciplinary teams, and ensure value delivery at scale.

The role combines hands-on engineering leadership with advisory responsibilities, working in a hybrid model (on site and remote) across diverse client environments, driving innovation, governance, and successful