Senior AI Systems Engineer: Advanced Forward Engineering

EY

Chattanooga (TN)

Hybrid

USD 144,000 - 329,000

Full time

6 hours ago

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Benefits offered by this job

Hybrid work model

Total Rewards package

Pension and 401(k)

Paid time off

Medical and dental coverage

Job summary

EY seeks a senior Distinguished Engineer to lead the delivery of AI-native systems into regulated industries. The role bridges real-world delivery, architecture governance, and platform feedback to move AI from concept to production with safety and audit-grade rigor.

As part of the Advanced Forward Engineering team, you will partner with Product Engineering and governance authorities, delivering durable reference patterns while guiding multi-cell delivery teams toward repeatable success in

Qualifications

10+ years of experience 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.
Track record of creating reusable technical patterns or platforms that scale beyond a single engagement.
Experience collaborating closely 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.