Senior AI Systems Architect & Delivery Leader

Ernst & Young Oman

Phoenix (AZ)

Hybrid

USD 144,000 - 329,000

Full time

14 days+

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Job summary

EY seeks a senior Distinguished Engineer to lead AI-native system delivery in highly regulated industries. You will drive architecture-aligned, production-ready AI solutions with safety, auditability, and performance at the forefront.

Role combines hands-on engineering with strategic leadership across delivery cells, working with Product Engineering and governance authorities to ensure repeatable, scalable patterns and measurable outcomes.

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.