Production-Grade AI Engineer: Agentic Systems

3501 Accenture Technology Sol. Company; Saint-Herblain; Sur place; EUR 80 000 - 120 000; Plein temps

Résumé du poste

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

We value hands-on production experience with multi-agent systems, eval harnessing, and strong backend engineering skills in Python/Java, with cloud-native practices and cost

Qualifications

• Production experience delivering agentic AI solutions in a production environment.
• Hands-on experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
• RAG pipeline ownership: embeddings, chunking, vector databases, and context engineering.
• LLMOps fundamentals: eval harness design, prompt versioning, and production observability.
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC.

Responsabilités

• Architect and govern production-grade agentic systems at enterprise scale.
• Define RAG pipeline standards across engagements and ensure metric-backed decisions.
• Set multi-LLM integration standards across providers including OpenAI, Anthropic, Vertex AI.
• Own LLMOps at programme scale: eval strategy, prompt governance, observability and cost controls.
• Lead client engineering engagements at senior level: design sessions, POC delivery, and alignment with client stakeholders.
• Publish reusable patterns and accelerators to scale across the practice.

Connaissances

Python

Java

Production debugging

Team leadership

Cloud-native

Outils

Kubernetes

Docker

CI/CD

Terraform

Helm

Description du poste

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

We value hands-on production experience with multi-agent systems, eval harnessing, and strong backend engineering skills in Python/Java, with cloud-native practices and cost