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AI Native Engineer (Agentic AI)

accenture · Paris

New
Senior 🇬🇧 English
Python Java LangGraph CrewAI AutoGen RAG Kubernetes Docker CI/CD Terraform Helm LangSmith Braintrust

Job description

About the role

Accenture is hiring an AI Native Engineer in Paris to design, build and deploy production-grade agentic AI systems across the full enterprise technology stack. The role works directly with client engineering teams, leads technical design sessions and builds reusable patterns and accelerators that scale beyond individual engagements. It focuses on agentic architectures that run in real client organizations, not demos or prototypes.

Key responsibilities

  • Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management and lifecycle observability.
  • Build and own RAG pipelines: embeddings, chunking strategy, vector search and context window engineering tuned against real quality targets.
  • Integrate and abstract across multiple LLM providers (OpenAI, Anthropic, Vertex AI and open-source models) with fallback routing and token, cost and latency management.
  • Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling (LangSmith, Braintrust or equivalent) and cost and safety monitoring.
  • Work with client engineering teams on workshops, proofs of concept, code-with sessions and architecture walkthroughs.
  • Build reusable patterns, accelerators and playbooks, and define metrics for agent accuracy, latency, safety and cost-effectiveness.

Required profile

  • 2 to 5 years of software engineering experience in production environments.
  • At least 1 year of hands-on experience designing and deploying agentic AI solutions in production (non-negotiable).
  • Experience with agentic orchestration frameworks such as LangGraph, CrewAI or AutoGen at production depth.
  • Experience calling LLM APIs in production code and owning RAG pipelines.
  • Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD and IaC (Terraform or Helm).
  • Strong Python; Java or an equivalent backend language is acceptable.

What we offer

  • Breadth across industries, technology stacks and organizational complexities.
  • Vendor fellowship access inside Anthropic, OpenAI, Microsoft and Google engineering teams.
  • A direct pathway to the Forward Deployed Engineer programme.

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Source : ats:workday

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Published 17 hours ago

Expires 1 month from now

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accenture

Paris