Senior AI Systems Architect & Delivery Leader

Ernst & Young Oman; Memphis (TN); Hybrid; USD 144,000 - 329,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k) plans

Paid time off

Job summary

EY seeks a senior Distinguished Engineer to lead the delivery of AI-native systems in regulated industries. You will bridge real-world delivery, architecture enforcement, and platform feedback to move AI systems from concept to production with safety and audit-grade rigor.

The role anchors on cross-cell leadership, with a focus on reusable patterns, governance, and strong client presence. Hybrid model in a flexible, global setting.

Qualifications

• 10+ years delivering complex AI enterprise systems in regulated industries.
• Deep experience with distributed systems and cloud platforms.
• Hands-on with modern AI-enabled application stacks and orchestration frameworks.
• Proven ability to operate in forward-deployed or customer-facing roles.
• Track record of reusable technical patterns that scale across engagements.
• Experience collaborating with architecture, product, and platform teams.

Responsibilities

• Serve as cross-engagement technical authority ensuring architecture alignment in regulated environments.
• Synthesize learnings into durable reference integrations and reusable patterns.
• Work with AI agents to support safe-to-ship decisions with evidence inputs.
• Operate as a player-coach, guiding delivery teams to repeatable approaches.
• Consolidate cross-cell signals into evidence-based recommendations for platforms.
• Partner with Product Engineering and Product Architecture to package patterns into business cases.

Skills

AI/ML

Distributed systems

Cloud platforms

System design

Executive communication

Education

Bachelor’s or Master’s in CS or related field

Tools

Orchestration frameworks

Agentic systems

Job description

EY seeks a senior Distinguished Engineer to lead the delivery of AI-native systems in regulated industries. You will bridge real-world delivery, architecture enforcement, and platform feedback to move AI systems from concept to production with safety and audit-grade rigor.

The role anchors on cross-cell leadership, with a focus on reusable patterns, governance, and strong client presence. Hybrid model in a flexible, global setting.