Senior AI-Driven Systems Engineer (Client-Embedded)

EY; City of Rochester (NY); 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 the Advanced Forward Engineering team to design, build, and deliver AI-native systems directly into highly regulated client environments. This role combines end-to-end delivery ownership with hands-on execution, serving as the primary technical and outcomes authority for forward-deployed engagements.

Embedded with client teams, you will shape solutions, write production-grade code, and collaborate with platform, architecture, security and governance partners to

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 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 and define delivery paths under regulatory constraints.
• Own end-to-end delivery outcomes for engagements from shaping through implementation and sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic, and integrations using platform capabilities.
• Write and review production-quality code (e.g., LangGraph, Python, orchestration layers) aligned with enterprise standards.
• Balance functionality, safety, cost, and timeline, and explain decisions to stakeholders.
• Ensure solutions comply with security, AI integrity, and FinOps constraints with control authorities.
• Capture field learnings and edge cases to improve platform evolution.
• Collaborate with integration, platform, and architecture teams to enable repeatable delivery patterns.

Skills

Ownership of problems

Engineering fundamentals

Client-facing

Hands-on execution

Decision making

Communication

Reliability

Curiosity in AI

Education

Bachelor’s or Master’s in CS

Tools

LangGraph

Python

Job description

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems directly into highly regulated client environments. This role combines end-to-end delivery ownership with hands-on execution, serving as the primary technical and outcomes authority for forward-deployed engagements.

Embedded with client teams, you will shape solutions, write production-grade code, and collaborate with platform, architecture, security and governance partners to