Senior AI Platform Engineer — Client‑Embedded Delivery Lead

Ernst & Young Oman; Little Rock (AR); 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 highly regulated environments. You will own end-to-end delivery from shaping to sustainment, writing production-grade code, and collaborating with platform, security, and governance partners.

This role emphasizes ownership of ambiguous problems, pragmatic tradeoffs, and turning platform capabilities into real business impact, with a hybrid

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

Problem ownership

AI-native environments

Client-facing experience

Clear communication

Regulated settings

Ambiguity handling

Mentoring

Reliability and trust in production

Education

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

Tools

LangGraph

Python

Orchestration frameworks

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 highly regulated environments. You will own end-to-end delivery from shaping to sustainment, writing production-grade code, and collaborating with platform, security, and governance partners.

This role emphasizes ownership of ambiguous problems, pragmatic tradeoffs, and turning platform capabilities into real business impact, with a hybrid