Client-First AI Engineering Leader

EY; Hartford (CT); Remote; USD 126,000 - 262,000; Full time

Benefits offered by this job

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Job summary

EY is seeking a Forward Deployed Engineer Manager to lead AI, data science, and machine learning initiatives for client engagements nationwide. You will collaborate with clients and EY teams to diagnose problems, design scalable AI solutions, and oversee production deployment from discovery to impact measurement.

You will guide architecture, ensure responsible deployment, and coach teams on AI-native tooling while navigating a fast-paced, highly collaborative environment across cloud and on‑prem

Qualifications

• Bachelor’s degree required.
• 6–10 years of AI, Data Science, and/or Machine Learning experience.
• 2–4 years of leading technical teams.

Responsibilities

• Lead client-embedded AI workstreams from opportunity identification through deployment and value measurement.
• Redesign client processes for human–AI collaboration and improve delivery through research and prototyping.
• Manage lean, multidisciplinary teams delivering complex AI engineering initiatives with quality and responsible deployment.
• Build trust with business and technology stakeholders and lead product and agile delivery from planning through execution.
• Define solution architecture and guide hands-on development of agentic workflows and integrations.
• Establish evaluations, observability, governance, access controls, and risk mitigations for secure operation of AI systems.

Skills

Python

AI/ML design

Client engagement

Team leadership

Education

Bachelor's degree

Tools

Claude

Codex

Cursor

GitHub

Azure DevOps

Job description

EY is seeking a Forward Deployed Engineer Manager to lead AI, data science, and machine learning initiatives for client engagements nationwide. You will collaborate with clients and EY teams to diagnose problems, design scalable AI solutions, and oversee production deployment from discovery to impact measurement.

You will guide architecture, ensure responsible deployment, and coach teams on AI-native tooling while navigating a fast-paced, highly collaborative environment across cloud and on‑prem