Senior AI‑Enabled Systems Engineer (Client‑Embedded)

Ernst & Young Oman

Chantilly (VA)

Hybrid

USD 107,000 - 177,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Medical and dental coverage
Pension and 401(k) plans

Job summary

EY is seeking senior engineers for the Advanced Forward Engineering team in the Office of the CTO. You will design, build, and deliver AI-native systems embedded with strategic clients, owning end-to-end delivery in highly regulated environments.

The role emphasizes pragmatic tradeoffs, production‑quality code, and collaboration with platform, architecture, security, and governance partners to ensure auditable, trusted solutions in production.

Qualifications

  • 5+ years delivering complex software systems in enterprise or regulated environments.
  • 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).

Responsibilities

  • Embed directly with client teams to frame problems and define delivery paths under regulatory constraints.
  • Own end-to-end delivery outcomes from shaping to deployment and sustainment.
  • Write production‑quality code (LangGraph, Python, orchestration glue) per enterprise standards.
  • Balance functionality, safety, cost, and timeline; explain decisions to stakeholders.
  • Ensure security, AI integrity and FinOps compliance; collaborate with control authorities for approval.
  • Capture learnings and feedback to improve platform evolution.
  • Collaborate with integration, platform, and architecture teams to reduce rework.

Skills

Distributed systems
APIs
Integrations
Data-intensive apps
Client-facing
AI/ML basics
Regulated environments

Education

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

Job description

EY is seeking senior engineers for the Advanced Forward Engineering team in the Office of the CTO. You will design, build, and deliver AI-native systems embedded with strategic clients, owning end-to-end delivery in highly regulated environments.

The role emphasizes pragmatic tradeoffs, production‑quality code, and collaboration with platform, architecture, security, and governance partners to ensure auditable, trusted solutions in production.

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