AI-Native Implementation Engineer - Forward-Deployed

EY; Southfield (MI); Hybrid; USD 107,000 - 201,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plans

Generous paid time off

Job summary

EY, a global professional services firm, invites senior engineers to join the Advanced Forward Engineering team. You will embed with strategic clients to design, build, and deliver AI-native systems under regulatory constraints, owning delivery end-to-end.

This role balances hands-on coding with solution shaping, collaborating with platform, architecture, security, and governance. You will address real-world constraints and drive auditable, trusted production deployments that impact business

Qualifications

• 5+ years delivering complex software 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.
• 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, 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

Ownership mindset

Systems thinking

Client-facing experience

Hands-on coding

Communication skills

Regulatory/compliance awareness

Education

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

Tools

LangGraph

Python

Orchestration frameworks

Job description

EY, a global professional services firm, invites senior engineers to join the Advanced Forward Engineering team. You will embed with strategic clients to design, build, and deliver AI-native systems under regulatory constraints, owning delivery end-to-end.

This role balances hands-on coding with solution shaping, collaborating with platform, architecture, security, and governance. You will address real-world constraints and drive auditable, trusted production deployments that impact business