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EY

Distinguished Engineer - AI Advanced Forward Engineering - Senior Manager

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What they do

An Engineering Manager oversees engineering and technical design of large projects, and manages communication and coordination among different types of engineers working on a project. Supervises project schedule, budget, and communications with stakeholders.

$151,834 / year median in Missouri

+3% projected growth

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Job Description

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Anywhere in Country At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are seeking a senior, hands-on Distinguished Engineer to lead the delivery of AI-native systems into highly regulated industries such as tax, finance, and risk. This role sits at the intersection of real-world delivery, architecture enforcement, and platform feedback, ensuring that AI systems move from concept to production with speed, safety, and audit-grade rigor. Unlike traditional architecture or product roles, the Advanced Forward Engineering ( AFE ) team is accountable for making AI systems work in reality, under client constraints, regulatory scrutiny, and operational pressure. Client engagements involve cells/pods of Forward Deployed Engineers and the Distinguished AFE operates as a cross-cell technical leader, partnering closely with Product Engineering, Product Architecture, and governance authorities while remaining anchored in delivery outcomes. This role is ideal for a seasoned engineer who combines deep technical judgment with strong client presence, systems thinking, and the ability to translate messy field reality into durable, reusable patterns for the enterprise. Your key 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. To view full details and how to apply, please login or create a Job Seeker account