AI Forward Engineering Lead — Client Delivery

EY; Tucson (AZ); Hybrid; USD 126,000 - 230,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Total Rewards package

Paid time off

Job summary

EY in the United States is seeking a Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems in regulated industries, embedding with the client and driving trusted technical direction. You will lead a cell, set its technical course, and act as the primary interface to client stakeholders while delivering production‑grade outcomes.

Remain hands-on when needed, design critical components, balance tradeoffs, and ensure safety, cost, and production readiness in a hybrid

Qualifications

• 8+ years delivering complex enterprise systems.
• Hands-on engineering 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.
• Bachelor’s or Master’s degree in Computer Science or related technical field.

Responsibilities

• Own end‑to‑end outcome delivery for the cell, including scoping, tradeoffs, technical direction, and production readiness, taking accountability for the business outcome, not just the code.
• Embed directly with the client to define the real problem and translate ambiguous business needs into an executable technical solution under regulatory and environmental constraints.
• Serve as the primary technical interface and trusted advisor to client stakeholders, managing expectations, communicating tradeoffs, and sustaining the trust that drives adoption.
• Stay hands‑on, personally designing and building critical parts of the solution, and diving deep into the client’s systems, data, and codebase when the engagement requires it.
• Deploy, adapt, and stabilize solutions in the client environment using supported templates and profiles, owning release readiness and runtime accountability for what the cell ships.
• Direct the work of the cell’s Implementation Engineer and Data Engineer, ensuring integrations, orchestration, and data readiness come together into a coherent, production‑grade outcome.
• Ensure every deployment meets safety, integrity, and cost constraints, partnering with control authorities and the Distinguished AFE on safe‑to‑ship decisions for regulated environments.

Skills

Outcome ownership

Client presence

Hands-on engineering

AI-enabled stacks

Forward deployment

Team leadership

Stakeholder management

SDLC knowledge

Education

Bachelor’s or Master’s degree in CS

Tools

Cloud platforms

Orchestration frameworks

LLM-backed services

Job description

EY in the United States is seeking a Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems in regulated industries, embedding with the client and driving trusted technical direction. You will lead a cell, set its technical course, and act as the primary interface to client stakeholders while delivering production‑grade outcomes.

Remain hands-on when needed, design critical components, balance tradeoffs, and ensure safety, cost, and production readiness in a hybrid