AI-Native Solutions Lead, Client-Embedded Engineer

EY; Fort Worth (TX); Hybrid; USD 107,000 - 177,000; Full time

Job summary

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments such as tax, finance and risk. This role combines end-to-end delivery ownership with hands-on execution, serving as the technical authority for forward-deployed client engagements and writing production-grade code.

You will collaborate with platform, architecture, security and governance partners in a hybrid, client-facing

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

Ownership of complex problems

Engineering fundamentals

Client-facing

Hands-on execution

Clear communication

Regulated environments

Education

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

Tools

LangGraph

Python

Job description

EY is seeking senior engineers for the Advanced Forward Engineering team to design, build, and deliver AI-native systems embedded with clients in regulated environments such as tax, finance and risk. This role combines end-to-end delivery ownership with hands-on execution, serving as the technical authority for forward-deployed client engagements and writing production-grade code.

You will collaborate with platform, architecture, security and governance partners in a hybrid, client-facing