AI Platform Engineer - Full-Stack & Kubernetes

Accenture PLC

Mountain View (CA)

On-site

USD 74,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Medical, dental, vision
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

Job summary

Accenture is seeking an Advanced AI Full Stack Engineer to design and build foundational systems powering AI agent platforms. You will work across the full platform stack, from orchestration runtimes to developer tooling, with strong fluency in Python and Node.js/TypeScript.

The role is onsite in Mountain View, CA, with travel as needed. You will contribute to governance, observability, and scalable AI infrastructure for enterprise clients.

Qualifications

  • Bachelor's degree or equivalent minimum 12 years work experience or 6 years with Associate's degree.
  • Minimum of 2 years of experience with Python and/or Node.js/TypeScript backend services.
  • Minimum of 1 year building or integrating with AI/LLM systems or AI developer tooling.

Responsibilities

  • Design and build agent orchestration runtimes and sandboxed execution environments.
  • Develop SDKs and CLIs in Python and Node.js/TypeScript for agents.
  • Design REST, gRPC, and event-streaming APIs to connect runtimes and platform services.
  • Implement framework adapters to normalize event streams across AI frameworks.
  • Collaborate with AI researchers, product managers, and security engineers.

Skills

Python
Node.js
TypeScript
Distributed systems
AI infrastructure
Kubernetes
OpenTelemetry

Education

Bachelor's degree in Computer Science/Computer Engineering or related field

Tools

Kubernetes

Job description

Accenture is seeking an Advanced AI Full Stack Engineer to design and build foundational systems powering AI agent platforms. You will work across the full platform stack, from orchestration runtimes to developer tooling, with strong fluency in Python and Node.js/TypeScript.

The role is onsite in Mountain View, CA, with travel as needed. You will contribute to governance, observability, and scalable AI infrastructure for enterprise clients.

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