Senior AI‑Native Systems Engineer — Client‑Facing Delivery

EY; Memphis (TN); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments such as tax, finance, and risk. You will own end-to-end delivery, shape requirements, and write production-quality code within EY's trusted platform.

The role emphasizes pragmatic tradeoffs, strong engineering fundamentals, and collaboration with security, governance, and architecture teams to ensure auditable and safe production

Qualifications

• 5+ years delivering complex software in enterprise or regulated environments.
• Customer-facing or consulting engineering experience.
• Hands-on building and deployment of distributed systems, APIs, or data-intensive applications.
• Experience with modern AI application stacks (LLM-backed, agentic workflows).
• Proven track record owning delivery in real-world conditions.
• Production-grade code operating under compliance, performance, and reliability constraints.
• Ability to collaborate with engineering, architecture, security, and governance teams.

Responsibilities

• Embed directly with client teams to frame problems 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

Client-facing experience

Production-grade code

AI/ML stacks

Education

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

Tools

LangGraph

Python

APIs

Orchestration frameworks

Job description

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments such as tax, finance, and risk. You will own end-to-end delivery, shape requirements, and write production-quality code within EY's trusted platform.

The role emphasizes pragmatic tradeoffs, strong engineering fundamentals, and collaboration with security, governance, and architecture teams to ensure auditable and safe production