Senior AI Forward Engineer for Enterprise Delivery

EY

Tulsa (OK)

Hybrid

USD 144,000 - 329,000

Full time

48 hours ago

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Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) plan

Paid time off

Job summary

EY is seeking a senior, hands-on Distinguished Engineer to lead the delivery of AI-native systems into regulated industries, shaping the enterprise with architecture enforcement and platform-backed delivery. The Advanced Forward Engineering team acts as a cross-cell technical leader, partnering with Product Engineering and governance authorities to ensure speed, safety, and audit-grade rigor.

The role demands deep technical judgment, client presence, and the ability to translate field reality

Qualifications

10+ years delivering complex AI enterprise systems, ideally in regulated industries.
Deep experience with distributed systems, cloud platforms, and integration-heavy architectures.
Hands-on experience with modern AI-enabled application stacks (e.g., agentic systems, orchestration frameworks, LLM-backed services).
Proven ability to operate in forward-deployed or customer-facing engineering roles, owning outcomes under real-world constraints.

Responsibilities

Serve as a cross-engagement technical authority, ensuring delivery implementations adhere to architecture intent, safety, and economic constraints in regulated environments.
Synthesize learnings from multiple delivery cells into durable reference integrations, validated implementations, and reusable patterns that reduce repeated failure modes.
Work with AI agents to support regulated safe-to-ship decisions by contributing technical evidence and validation inputs.
Operate as a player-coach, contributing directly to complex system design and implementation while guiding delivery teams toward consistent, repeatable approaches.
Own the consolidation, prioritization, and communication of cross-cell product signals, converting field observations and client-specific adaptations into evidence-based recommendations, distinguishing them from isolated customer requests.
Partner with Product Engineering and Product Architecture to package consolidated client patterns into technical business cases, backlog candidates, and platform investment recommendations.
Participate in shaping sessions, architecture reviews, and prioritization discussions, advocating changes that improve portability, operability, and customer outcomes.