Senior AI-Native Systems Engineer, Forward-Deployed

EY; Orlando (FL); Híbrido; USD 110.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Total Rewards package

Descripción de la vacante

EY is seeking senior engineers for the Advanced Forward Engineering (AFE) team in the Office of the CTO to design, build, and deploy AI-native systems directly into highly regulated client environments.

You will own end-to-end delivery, write production-quality code (LangGraph, Python, orchestration layers), and collaborate with platform, security, and governance partners to ensure safe, auditable solutions.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

LangGraph

Python

orchestration glue

integration layers

end-to-end delivery

AI-native systems

client-facing

Educación

Bachelor’s or Master’s degree in Computer Science

Herramientas

LangGraph

Python

Orchestration frameworks

Descripción del empleo

EY is seeking senior engineers for the Advanced Forward Engineering (AFE) team in the Office of the CTO to design, build, and deploy AI-native systems directly into highly regulated client environments.

You will own end-to-end delivery, write production-quality code (LangGraph, Python, orchestration layers), and collaborate with platform, security, and governance partners to ensure safe, auditable solutions.