Senior AI Engineering Leader, Agentic Systems

Accenture

Walnut Creek (CA)

On-site

USD 133,000 - 302,000

Full time

9 days ago
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Benefits offered by this job

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

Job summary

Accenture is seeking an AI Native Engineer to design and deploy agentic AI systems in enterprise environments. The role emphasizes building cloud-native workflows, integrating multiple AI platforms, and delivering robust, secure solutions across complex domains.

You will embed with clients as a technologist and trusted advisor, shaping use cases, prototyping quickly, and delivering scalable AI-native agents that augment enterprise workflows.

Qualifications

  • 10+ years' end-to-end software engineering and SDLC experience.
  • 8+ years in cloud-native engineering, APIs, microservices, containerization, serverless.
  • Proficiency in Python, Java or equivalents; familiarity with evaluation tooling, logging, monitoring, and agent observability.
  • Experience deploying to production with CI/CD, IaC (Terraform, Helm), monitoring, and debugging.
  • Experience leading technical workshops and delivering under ambiguity.
  • 2+ years hands-on with Agentic AI solutions.
  • 1.5+ years with semantic models, knowledge graphs, and enterprise knowledge.
  • Experience with AI platforms (OpenAI, Claude) and multi-provider pipelines.
  • Experience designing agentic solutions (agents, orchestration, RAG, workflows) in production.
  • Strong communication and client engagement skills.

Responsibilities

  • Design and engineer enterprise-ready AI agents with retrieval, orchestration, routing, tool invocation, evaluation, and observability.
  • Develop abstraction layers across AI providers for seamless integration.
  • Leverage Kubernetes, Docker, microservices, serverless, CI/CD, and observability for scalable AI-native systems.
  • Tailor and deploy agentic workflows across verticals like finance, healthcare, and retail.
  • Conduct design workshops, POCs, and code-with sessions to shape data-driven workflows.
  • Define metrics and evaluation plans to measure accuracy, latency, safety, and cost.

Skills

Agent architecture
Cloud-native engineering
Python/Java
CI/CD
AI platforms
Client workshops
Knowledge sharing

Education

Bachelor's degree or equivalent

Tools

Kubernetes
Docker
Terraform
Helm

Job description

Accenture is seeking an AI Native Engineer to design and deploy agentic AI systems in enterprise environments. The role emphasizes building cloud-native workflows, integrating multiple AI platforms, and delivering robust, secure solutions across complex domains.

You will embed with clients as a technologist and trusted advisor, shaping use cases, prototyping quickly, and delivering scalable AI-native agents that augment enterprise workflows.

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