Senior AI Engineering Leader for Regulated Systems

Ernst & Young Oman

Sacramento (CA)

Hybrid

USD 180,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Flexible vacation policy

Total Rewards package

Job summary

EY seeks a senior, hands-on Distinguished Engineer to lead the delivery of AI-native systems into regulated industries such as tax, finance, and risk. This role sits at the intersection of real-world delivery, architecture enforcement, and platform feedback to move AI systems from concept to production with speed, safety, and audit-grade rigor.

You will work across cross-functional teams, act as a cross-cell technical leader, and translate client realities into durable, reusable enterprise

Qualifications

10+ years of experience delivering complex AI enterprise systems.
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.