AI Forward-Deployed Cell Lead

EY; Seattle (WA); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Generous time-off options

Job summary

EY seeks a hands-on Lead Forward Deployed Engineer to own end-to-end delivery of AI-enabled systems in a client engagement, embedded on site, with deep technical judgment and a bias toward outcomes.

The role requires 8+ years delivering complex enterprise systems, strong stakeholder management, and the ability to operate across cloud, on-prem, and hybrid environments. EY offers hybrid work and comprehensive benefits.

Qualifications

• 8+ years delivering complex enterprise systems, ideally in regulated or client-facing contexts.
• Hands-on engineering depth across integration-heavy architectures, cloud platforms, and distributed systems.
• Experience with modern AI-enabled application stacks (e.g., agentic systems, orchestration frameworks, LLM-backed services).
• Proven ability to operate in forward-deployed, customer-facing, or solutions-architecture roles, owning outcomes end to end.
• Demonstrated ability to lead a small technical team while remaining an individual contributor.
• Strong stakeholder-management skills, including managing client expectations under pressure.
• Solid understanding of software delivery lifecycle, quality gates, and production readiness in enterprise settings.

Responsibilities

• Own end-to-end outcome delivery for the cell, including scoping, tradeoffs, technical direction, and production readiness.
• Embed directly with the client to define the real problem and translate needs into a technical solution under constraints.
• Serve as the primary technical interface and trusted advisor to client stakeholders.
• Stay hands-on, designing and building critical parts of the solution when needed.
• Deploy, adapt, and stabilize solutions in the client environment, ensuring release readiness.
• Direct the cell’s Implementation Engineer and Data Engineer to deliver a coherent production-grade outcome.
• Ensure deployments meet safety, integrity, and cost constraints with governance partners.

Skills

Outcome ownership

Client presence

Hands-on engineering

AI-enabled systems judgment

Communicating tradeoffs

Autonomy in senior teams

Pragmatic mindset

Education

Bachelors or Masters in CS

Tools

AI-enabled stacks

Orchestration frameworks

LLM-backed services

Job description

EY seeks a hands-on Lead Forward Deployed Engineer to own end-to-end delivery of AI-enabled systems in a client engagement, embedded on site, with deep technical judgment and a bias toward outcomes.

The role requires 8+ years delivering complex enterprise systems, strong stakeholder management, and the ability to operate across cloud, on-prem, and hybrid environments. EY offers hybrid work and comprehensive benefits.