AI Forward Deployed Lead Engineer — End-to-End Delivery

Ernst & Young Oman

Frankfort (KY)

Hybrid

USD 126,000 - 230,000

Full time

14 days+
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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 for a single client in highly regulated industries. You’ll be the technical authority, embedding with the client and guiding a small cell to deliver secure, production-grade solutions.

You’ll stay hands-on, design critical components, manage tradeoffs with stakeholders, and ensure production readiness while meeting safety and cost constraints across complex AI-enabled stacks.

Qualifications

  • 8+ years delivering complex enterprise systems.
  • Hands-on depth across integration-heavy architectures and cloud platforms.
  • Experience with AI-enabled application stacks.
  • Proven ability to operate in forward-deployed, customer-facing 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 ambiguous business needs into an executable technical solution.
  • Serve as the primary technical interface and trusted advisor to client stakeholders, managing expectations and tradeoffs.
  • Stay hands-on, designing and building critical parts of the solution and diving into client systems when needed.
  • Deploy, adapt, and stabilize solutions in the client environment, owning release readiness and runtime accountability.
  • Direct the work of the cell’s Implementation Engineer and Data Engineer to deliver a coherent, production-grade outcome.
  • Ensure every deployment meets safety, integrity, and cost constraints, coordinating with authorities on safe-to-ship decisions.

Skills

Enterprise systems
Cloud platforms
Distributed systems
AI-enabled stacks
Technical leadership
Client-facing
Stakeholder management
Software delivery lifecycle

Education

Bachelor’s or Master in CS or related field

Job description

EY is seeking a hands-on Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems for a single client in highly regulated industries. You’ll be the technical authority, embedding with the client and guiding a small cell to deliver secure, production-grade solutions.

You’ll stay hands-on, design critical components, manage tradeoffs with stakeholders, and ensure production readiness while meeting safety and cost constraints across complex AI-enabled stacks.

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