Senior AI‑Native Systems Engineer (Client‑Facing)

Ernst & Young Oman; Charlotte (NC); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Total Rewards package

Paid time off

Job summary

EY’s Office of the CTO, Advanced Forward Engineering (AFE) team, embeds engineers with strategic clients to deliver AI-native systems inside regulated environments. Senior engineers design, build and deliver end-to-end solutions, owning outcomes with hands-on execution and strong collaboration across security, governance, and platform teams.

This role focuses on pragmatic tradeoffs, auditable production code, and ensuring safe-to-run deployments that scale across client environments in finance,

Qualifications

• 5+ years delivering complex software in enterprise or regulated environments.
• Experience in customer-facing or consulting engineering roles.
• Hands-on experience building and deploying distributed systems, APIs, integrations, or data-intensive applications.
• Practical experience with modern AI application stacks (e.g., LLM-backed systems, agentic workflows, orchestration frameworks).
• Proven track record owning delivery in real-world conditions.
• Experience writing and maintaining production-grade code that operates under compliance, performance, and reliability constraints.
• Ability to work effectively with engineering, architecture, security, and governance teams.

Responsibilities

• Embed directly with client teams to frame problems, identify high-leverage opportunities, and define delivery paths under regulatory and operational constraints.
• Own end-to-end delivery outcomes for engagements, from initial shaping through implementation, deployment, and early sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic, and integrations using approved platform capabilities and delivery templates.
• Write and review production-quality code (e.g., LangGraph, Python, orchestration glue, integration layers) aligned with enterprise delivery standards.
• Make real-time delivery tradeoffs balancing functionality, safety, cost, and timeline, and clearly explain those decisions to stakeholders.
• Ensure solutions comply with security, AI integrity, and FinOps constraints, working with control authorities to achieve safe-to-ship approval.
• Capture and communicate field learnings, edge cases, and failure modes, contributing evidence-based feedback that improves platform evolution.
• Collaborate with integration, platform, and architecture teams to reduce rework and enable repeatable delivery patterns.

Skills

Ownership

AI fundamentals

Client-facing

Delivery ownership

Regulated environments

Education

Bachelor’s or Master’s degree in Computer Science or related technical field

Tools

LangGraph

Python

APIs

Job description

EY’s Office of the CTO, Advanced Forward Engineering (AFE) team, embeds engineers with strategic clients to deliver AI-native systems inside regulated environments. Senior engineers design, build and deliver end-to-end solutions, owning outcomes with hands-on execution and strong collaboration across security, governance, and platform teams.

This role focuses on pragmatic tradeoffs, auditable production code, and ensuring safe-to-run deployments that scale across client environments in finance,