AI Forward Deployed Cell Lead

Ernst & Young Oman; San Jose (CA); Hybrid; USD 126,000 - 262,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off

Job summary

EY is seeking a hands-on Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems within a client engagement in regulated industries. You will lead a small expert cell, interface with the client, and drive technical direction while remaining deeply hands-on.

The role emphasizes strong architectural judgment, autonomous decision-making, and the ability to balance ideal design with regulatory realities in a hybrid client-site environment.

Qualifications

• 8+ years delivering complex enterprise systems 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 an executable solution under regulatory 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 with release readiness and runtime accountability.
• Direct and coordinate the cell’s Implementation Engineer and Data Engineer work to deliver a coherent production-grade outcome.
• Ensure deployments meet safety, integrity, and cost constraints, coordinating with control authorities and the AFE governance.

Skills

Outcome ownership

Client presence

Hands-on engineering

Technical judgment

Clear communication

Autonomy

Pragmatic mindset

Education

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

Tools

Cloud platforms

Distributed systems

AI-enabled stacks

Job description

EY is seeking a hands-on Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems within a client engagement in regulated industries. You will lead a small expert cell, interface with the client, and drive technical direction while remaining deeply hands-on.

The role emphasizes strong architectural judgment, autonomous decision-making, and the ability to balance ideal design with regulatory realities in a hybrid client-site environment.