Production AI Agent Architect

Accenture PLC; Paris; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture PLC is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise tech stack in Paris. You will work with client engineering teams, lead technical design sessions, and develop reusable patterns that scale beyond single engagements.

The role requires hands-on experience shipping agentic AI systems, strong Python and backend skills, and familiarity with multiple LLM providers.

Qualifications

• 4+ years of software engineering in production environments.
• Minimum 1 year designing and deploying agentic AI solutions in production.
• Experience with agentic orchestration frameworks at production depth (LangGraph, CrewAI, AutoGen).
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.

Responsibilities

• Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and observability.
• Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets.
• Integrate across LLM providers with fallback routing, token management, latency, and cost planning.
• Implement LLMOps in production: eval harnesses, prompt versioning, observability tooling, cost and safety monitoring.
• Collaborate with client engineering teams for workshops, proofs of concept, and architecture walkthroughs.
• Create reusable patterns, accelerators, and playbooks to scale engagements.
• Define metrics for agent accuracy, latency, safety, and cost, and present business-oriented results.

Skills

Python

Java

Production debugging

Agentic AI

LLMOps

Tools

LangGraph

CrewAI

AutoGen

LangSmith

Braintrust

Kubernetes

Docker

Terraform

Job description

Accenture PLC is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise tech stack in Paris. You will work with client engineering teams, lead technical design sessions, and develop reusable patterns that scale beyond single engagements.

The role requires hands-on experience shipping agentic AI systems, strong Python and backend skills, and familiarity with multiple LLM providers.