Senior AI Implementation Engineer — Client‑Embedded Delivery

EY; Arlington (VA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Paid time off options

Medical and dental coverage

Pension and 401(k) plans

Job summary

EY is seeking senior engineers for its Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with regulated client environments. You will own end-to-end delivery, drive pragmatic tradeoffs, and ensure auditable, trusted production solutions.

Responsibilities include shaping solutions, writing production-quality code, and collaborating with platform, security, and governance partners to deliver real business impact in tax, finance, and risk sectors.

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.
• Production-grade code that operates under compliance, performance, and reliability constraints.
• Ability to work 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 deployment and sustainment.
• Implement and manage AI-enabled workflows, agentic systems, and orchestration logic using approved platform capabilities.
• Write and review production-quality code (e.g., LangGraph, Python) 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 for safe-to-ship approval.
• Capture field learnings and failure modes to improve platform evolution.
• Collaborate with integration, platform, and architecture teams to enable repeatable delivery patterns.

Skills

Ownership

Engineering fundamentals

Client-facing experience

Hands-on execution + shaping

Calm judgment under pressure

Clear communication

Reliability & repeatability

Curiosity & adaptability

Education

Bachelor’s or Master’s degree in Computer Science or related technical field

Tools

LangGraph

Python

Job description

EY is seeking senior engineers for its Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with regulated client environments. You will own end-to-end delivery, drive pragmatic tradeoffs, and ensure auditable, trusted production solutions.

Responsibilities include shaping solutions, writing production-quality code, and collaborating with platform, security, and governance partners to deliver real business impact in tax, finance, and risk sectors.