Senior AI‑Native Edge Engineer for Regulated Environments

EY; Tulsa (OK); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Flexible vacation policy

Medical and dental coverage

Job summary

EY’s CTO office seeks senior engineers to embed with strategic clients, delivering AI-native systems that are auditable, secure, and trusted in production. You’ll own delivery from shaping through deployment, balancing constraints in regulated settings and collaborating with security, governance, and platform teams.

You’ll write production-grade code (LangGraph, Python) and guide colleagues while navigating real-world constraints, ensuring practical, trusted outcomes for clients in tax, finance,

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 (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.
• Ability to work effectively with engineering, architecture, security, and governance teams.

Responsibilities

• Embed directly with client teams to frame problems and define delivery paths within regulatory constraints.
• Own end-to-end delivery outcomes from shaping through deployment and sustainment.
• Implement and manage AI-enabled workflows, agentic systems, orchestration logic, and integrations using approved platform capabilities.
• Write and review production-quality code aligned with enterprise delivery standards.
• Make real-time delivery tradeoffs balancing functionality, safety, cost, and timeline and explain decisions to stakeholders.
• Ensure solutions comply with security, AI integrity, and FinOps constraints with governance partners.
• Capture field learnings and failure modes to improve platform evolution.
• Collaborate with integration, platform, and architecture teams to enable repeatable delivery patterns.

Skills

Delivery ownership

AI-native systems

Client-facing

Distributed systems

LangGraph/Python

Education

Bachelor’s or Master’s in CS or related field

Tools

LangGraph

Python

Job description

EY’s CTO office seeks senior engineers to embed with strategic clients, delivering AI-native systems that are auditable, secure, and trusted in production. You’ll own delivery from shaping through deployment, balancing constraints in regulated settings and collaborating with security, governance, and platform teams.

You’ll write production-grade code (LangGraph, Python) and guide colleagues while navigating real-world constraints, ensuring practical, trusted outcomes for clients in tax, finance,