Senior AI-Native Delivery Engineer (Client-Embedded)

EY; St. Louis (MO); On-site; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Comprehensive benefits & PTO

Flexible vacation policy

Job summary

EY is seeking senior Forward Deployed Engineers to embed with clients, shaping AI-native solutions in regulated settings. You will own end-to-end delivery from problem framing to deployment, build production-grade code, and ensure compliance, security, and governance throughout engagements.

Ideal candidates have 5+ years delivering complex software in enterprise or regulated contexts, strong client-facing experience, and hands-on experience with modern AI stacks.

Qualifications

• 5+ years of experience 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 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

Delivery ownership

Client-facing experience

Distributed systems

AI application stacks

Production-grade code

Cross-functional collaboration

Regulated environments

Education

Bachelor's or Master's in Computer Science or related field

Tools

Python

LangGraph

APIs

Orchestration frameworks

Job description

EY is seeking senior Forward Deployed Engineers to embed with clients, shaping AI-native solutions in regulated settings. You will own end-to-end delivery from problem framing to deployment, build production-grade code, and ensure compliance, security, and governance throughout engagements.

Ideal candidates have 5+ years delivering complex software in enterprise or regulated contexts, strong client-facing experience, and hands-on experience with modern AI stacks.