Senior AI-Native Edge Engineer (Client-Embedded)

EY; New Brunswick (NJ); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY in the United States seeks senior engineers for the Advanced Forward Engineering team to design, build, and deploy AI-native systems inside regulated client environments such as tax, finance, and risk.

The role blends delivery ownership with hands-on coding, requiring production-grade work, collaboration with platform and security partners, and clear communication of tradeoffs under compliance constraints. Hybrid client-facing work with travel as needed.

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 stacks (LLMs, agentic workflows, orchestration).
• Proven track record owning delivery in real-world conditions.

Responsibilities

• Embed with client teams to frame problems and define delivery paths under regulatory constraints.
• Own end-to-end delivery outcomes from shaping to deployment and sustainment.
• Implement and manage AI-enabled workflows and integrations using platform capabilities.
• Write production-quality code aligned with enterprise delivery standards.
• Explain real-time tradeoffs balancing functionality, safety, and cost.

Skills

End-to-end delivery

AI-native systems

Client engagement

Production-grade code

Regulated environments

Education

Bachelor's/Master's in CS

Tools

LangGraph

Python

APIs

Orchestration frameworks

Job description

EY in the United States seeks senior engineers for the Advanced Forward Engineering team to design, build, and deploy AI-native systems inside regulated client environments such as tax, finance, and risk.

The role blends delivery ownership with hands-on coding, requiring production-grade work, collaboration with platform and security partners, and clear communication of tradeoffs under compliance constraints. Hybrid client-facing work with travel as needed.