Senior AI Delivery Engineer for Regulated Environments

EY; Denver (CO); On-site; 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's Office of the CTO seeks senior engineers for the Advanced Forward Engineering team, embedding with strategic clients to design, build, and deliver AI-native systems in regulated environments like tax, finance, and risk.

You will own end-to-end delivery, write production-grade code (LangGraph, Python), and ensure solutions are auditable, secure, and trusted in production, partnering with platform, security, and governance teams.

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 (LLM-backed, agentic workflows, orchestration frameworks).
• Proven track record owning delivery in real-world conditions.
• Production-grade code under compliance, performance and reliability constraints.
• Ability to collaborate with engineering, architecture, security and governance teams.

Responsibilities

• Embed directly with client teams to frame problems and define delivery paths.
• Own end-to-end delivery outcomes from shaping to deployment and sustainment.
• Implement and manage AI-enabled workflows and integrations using platform capabilities.
• Write and review production-quality code aligned with enterprise standards.
• Make real-time tradeoffs balancing functionality, cost, and risk, and explain decisions.
• Ensure compliance with security, AI integrity, and FinOps constraints.
• Capture field learnings and feedback to improve platform evolution.
• Collaborate with integration, platform, and architecture teams to enable repeatable delivery patterns.

Skills

LangGraph

Python

Orchestration frameworks

APIs

Data-intensive apps

Education

Bachelor’s or Master’s in Computer Science

Tools

LangGraph

Python

Orchestration glue

Integration layers

Job description

EY's Office of the CTO seeks senior engineers for the Advanced Forward Engineering team, embedding with strategic clients to design, build, and deliver AI-native systems in regulated environments like tax, finance, and risk.

You will own end-to-end delivery, write production-grade code (LangGraph, Python), and ensure solutions are auditable, secure, and trusted in production, partnering with platform, security, and governance teams.