Senior AI Systems Engineer: Client-Facing

EY

Atlanta (GA)

Híbrido

USD 107 000 - 177 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

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.

Qualificações

  • 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.

Responsabilidades

  • 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.

Conhecimentos

Ownership of complex problems
AI-native systems
Client-facing interaction
Engineering fundamentals
Regulated environments
Pragmatic system thinking

Formação académica

Bachelor’s or Master’s in Computer Science

Ferramentas

LangGraph
Python
APIs
Orchestration frameworks

Descrição da oferta de emprego

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.

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