Agentic AI Systems Engineer (Production)

Accenture PLC; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

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

This role sits at the heart of the AI engineering market, offering breadth across industries and access to leading AI ecosystems.

Qualifications

• 2 to 5 years of software engineering experience in production environments.
• Minimum 1 year of hands-on experience designing and deploying agentic AI solutions in production.
• Experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management, latency and cost tradeoffs.
• RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering.
• LLMOps fundamentals: eval harness design, prompt versioning, and production observability.
• Cloud-native engineering maturity: Kubernetes, Docker, CI/CD, and IaC (Terraform or Helm).
• Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience.
• Quality of experience is weighted over years; a candidate with three production agentic systems is preferred.

Responsabilités

• 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, context window engineering and tuning against real quality targets.
• Integrate and abstract across multiple LLM providers — OpenAI, Anthropic, Vertex AI, and open-source models — with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring.
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions — workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
• Build reusable patterns, accelerators, and playbooks that scale beyond the single engagement and enable the next project.
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to client stakeholders.

Connaissances

Python

Java

Outils

Kubernetes

Docker

CI/CD

Terraform

Helm

Description du poste

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

This role sits at the heart of the AI engineering market, offering breadth across industries and access to leading AI ecosystems.