Senior AI‑Native Systems Engineer — Client‑Facing, Hybrid

Ernst & Young Oman

Louisville (KY)

Hybrid

USD 107,000 - 177,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Competitive compensation and benefits
Total Rewards including medical & 401k

Job summary

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

You’ll balance hands-on coding with solution shaping, collaborating with platform, security, governance, and architecture teams to ensure auditable, trustworthy production systems.

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.
  • Experience with modern AI stacks (LLM-backed systems, agentic workflows).

Responsibilities

  • Embed with client teams to frame problems under regulatory constraints.
  • Own end-to-end delivery from shaping to deployment and sustainment.
  • Implement AI-enabled workflows and integrations using platform capabilities.
  • Write production-quality code (e.g., LangGraph, Python) per enterprise standards.
  • Explain tradeoffs to stakeholders balancing functionality, safety, and cost.
  • Ensure security, AI integrity, and governance compliance.

Skills

Ownership
Client-facing
Distributed systems
AI tooling
Communication

Education

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

Tools

Python
LangGraph
APIs
Orchestration frameworks

Job description

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

You’ll balance hands-on coding with solution shaping, collaborating with platform, security, governance, and architecture teams to ensure auditable, trustworthy production systems.

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