AI Forward Engineering Lead — Hands-On, Client‑Facing

EY

Columbus (OH)

Hybrid

USD 126,000 - 230,000

Full time

16 hours ago
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k)
Flexible vacation policy

Job summary

EY is seeking a Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems for a single client in regulated industries. The role embeds with the client, stays hands-on, and drives production-ready solutions while balancing tradeoffs and stakeholder trust.

You will lead a small cell, guide technical direction, and ensure safety, cost controls, and regulatory compliance as the engagement delivers real business outcomes.

Qualifications

  • 8+ years delivering complex enterprise systems.
  • 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.
  • 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 real problems and translate needs into executable technical solutions.
  • 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 production readiness accountability.
  • Direct the work of the cell’s Implementation Engineer and Data Engineer for coherent outcomes.
  • Ensure deployments meet safety, integrity, and cost constraints with appropriate approvals.

Skills

Hands-on engineering
AI-enabled systems
Client-facing
Technical leadership
Stakeholder management

Education

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

Tools

Cloud platforms
Distributed systems
Orchestration frameworks
LLM-backed services

Job description

EY is seeking a Lead Forward Deployed Engineer to own end-to-end delivery of AI-native systems for a single client in regulated industries. The role embeds with the client, stays hands-on, and drives production-ready solutions while balancing tradeoffs and stakeholder trust.

You will lead a small cell, guide technical direction, and ensure safety, cost controls, and regulatory compliance as the engagement delivers real business outcomes.

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