Senior AI-Native Engineer, Client-Embedded Delivery

Ernst & Young Oman; Baton Rouge (LA); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking senior engineers to design, build, and deliver AI-native systems embedded with client environments. You will own end-to-end delivery, write production-grade code, and collaborate with platform, security, and governance teams to ensure auditable, safe-to-ship solutions.

Ideal candidates have 5+ years delivering complex software in regulated contexts and experience with AI toolchains, APIs, and distributed architectures. This role supports a hybrid model across the US.

Qualifications

• 5+ years delivering complex software systems 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 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

Distributed systems

APIs & integrations

AI application stacks

Client-facing experience

Cross-functional collaboration

Production-grade coding

Engineering governance

Education

Bachelor’s or Master’s degree in Computer Science

Tools

LangGraph

Python

Orchestration frameworks

Job description

EY is seeking senior engineers to design, build, and deliver AI-native systems embedded with client environments. You will own end-to-end delivery, write production-grade code, and collaborate with platform, security, and governance teams to ensure auditable, safe-to-ship solutions.

Ideal candidates have 5+ years delivering complex software in regulated contexts and experience with AI toolchains, APIs, and distributed architectures. This role supports a hybrid model across the US.