Senior AI Engineering Leader – Regulated Systems Delivery (Hybrid)

EY

Fort Worth (TX)

Hybrid

USD 144,000 - 329,000

Full time

10 days ago

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Benefits offered by this job

Hybrid work model

Medical and dental coverage

401(k) and pension

Paid time off

Job summary

EY seeks a senior, hands-on Distinguished Engineer to lead AI-native system delivery in regulated industries. You will bridge delivery, architecture, and governance, shaping patterns that scale across client engagements.

This role emphasizes practical judgment, enterprise patterns, and strong client presence. You will partner with Product Engineering and Architecture to translate field observations into durable platform capabilities, advancing portability, operability, and customer outcomes in a

Qualifications

10+ years delivering complex AI enterprise systems in regulated environments.
Distributed systems, cloud platforms, and integration-heavy architectures.
Hands-on with modern AI-enabled application stacks (agentic systems, orchestration frameworks, LLM-backed services).
Forward-deployed or customer-facing engineering roles owning outcomes under real-world constraints.
Proven ability to create reusable technical patterns or platforms that scale.
Experience collaborating with architecture, product, and platform teams.
Strong understanding of software delivery lifecycle, quality gates, and production readiness in enterprise settings.

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.