Senior AI-Native Delivery Engineer

EY; Chicago (IL); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Pension and 401(k)

Paid time off

Job summary

EY is seeking senior engineers for EY’s Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with regulated client environments. This role combines end-to-end delivery ownership with hands-on engineering while collaborating across platform, architecture, security and governance partners.

You’ll own shaping, implementation, deployment, and sustainment, balancing functionality, safety, and cost in production settings, with a track record of delivering complex

Qualifications

• 5+ years of experience delivering complex software systems in enterprise or regulated environments.
• 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.

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

Delivery ownership

AI-native systems

Client facing

Distributed systems

Regulated environments

Cross-functional collaboration

Education

Bachelor’s or Master’s in Computer Science

Tools

LangGraph

Python

Orchestration frameworks

Integration layers

Job description

EY is seeking senior engineers for EY’s Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with regulated client environments. This role combines end-to-end delivery ownership with hands-on engineering while collaborating across platform, architecture, security and governance partners.

You’ll own shaping, implementation, deployment, and sustainment, balancing functionality, safety, and cost in production settings, with a track record of delivering complex