Senior AI Systems Engineer: Client-Facing

Ernst & Young Advisory Services Sdn Bhd; Atlanta (GA); Hybrid; USD 107,000 - 177,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

EY is seeking Senior Engineer for the Advanced Forward Engineering team in Atlanta. You will design, build, and deliver AI-native systems embedded with clients to ensure auditable, trusted production deployments in highly regulated environments.

The role combines hands-on delivery with technical leadership, owning end-to-end engagements and collaborating with platform, architecture, and governance partners. Hybrid work model offered.

Qualifications

• 5+ years delivering complex software systems in enterprise or regulated environments.
• Hands-on with distributed systems, APIs, integrations or data-intensive apps.
• Experience with AI-native stacks and platform integration.
• Customer-facing or consulting engineering experience.

Responsibilities

• Embed with client teams to frame problems and delivery paths under constraints.
• Own end-to-end delivery from shaping to deployment and sustainment.
• Implement AI-enabled workflows and orchestration logic using approved templates.
• Write production-quality code aligned with enterprise standards.
• Balance functionality, safety, cost, and timeline; explain tradeoffs to stakeholders.
• Ensure compliance with security, AI integrity and FinOps constraints.
• Capture learnings and feedback to improve platform evolution.
• Collaborate with integration, platform and architecture teams to reduce rework.

Skills

Ownership of complex problems

AI-native systems

Client-facing interaction

Engineering fundamentals

Regulated environments

Pragmatic system thinking

Education

Bachelor’s or Master’s in Computer Science

Tools

LangGraph

Python

APIs

Orchestration frameworks

Job description

EY is seeking Senior Engineer for the Advanced Forward Engineering team in Atlanta. You will design, build, and deliver AI-native systems embedded with clients to ensure auditable, trusted production deployments in highly regulated environments.

The role combines hands-on delivery with technical leadership, owning end-to-end engagements and collaborating with platform, architecture, and governance partners. Hybrid work model offered.