Production-Grade Agentic AI Engineer

Accenture Italia; Lombardia; On-site; EUR 29,000 - 55,000; Full time

Job summary

Accenture Italia 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 technical design sessions, and create reusable patterns that scale beyond individual engagements.

You will own RAG pipelines, embeddings, vector search, and context engineering, while integrating multiple LLM providers and implementing LLMOps in production environments.

Qualifications

• Hands-on experience designing and deploying agentic AI solutions in production
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code
• RAG pipeline ownership: embeddings, chunking strategy, vector databases, context engineering
• LLMOps fundamentals: eval harness design, prompt versioning, production observability
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, IaC
• Strong Python; Java or equivalent backend language; production debugging and observability
• Experience shipping production agentic systems is highly valued

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, context window engineering and tuning against real quality targets
• Integrate and abstract across multiple LLM providers with fallback routing, token, cost, and latency management
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling
• 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 individual client engagement
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to client stakeholders

Skills

Agentic AI design

Production deployment

RAG pipelines

LLMOps fundamentals

LLM APIs

Kubernetes

Python

Observability

Cost optimization

Tools

Kubernetes

Docker

Terraform

Helm

LangGraph

Job description

Accenture Italia 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 technical design sessions, and create reusable patterns that scale beyond individual engagements.

You will own RAG pipelines, embeddings, vector search, and context engineering, while integrating multiple LLM providers and implementing LLMOps in production environments.