Senior AI-Native Implementation Engineer

EY; Raleigh (NC); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Medical and dental coverage

Paid time off

Job summary

EY is seeking senior engineers for the Advanced Forward Engineering (AFE) team in the Office of the CTO. You will design, build, and deliver AI-native systems embedded with clients in regulated environments, owning end-to-end delivery from shaping to production deployment.

Role combines hands-on engineering with technical leadership, collaborating with platform, architecture, security, and governance partners to ensure auditable, trusted solutions. Hybrid client engagements expected.

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

Distributed systems

Python

LLM systems

APIs

AI governance

Customer facing

Education

CS degree

Tools

LangGraph

Job description

EY is seeking senior engineers for the Advanced Forward Engineering (AFE) team in the Office of the CTO. You will design, build, and deliver AI-native systems embedded with clients in regulated environments, owning end-to-end delivery from shaping to production deployment.

Role combines hands-on engineering with technical leadership, collaborating with platform, architecture, security, and governance partners to ensure auditable, trusted solutions. Hybrid client engagements expected.