Production-Grade AI Agentic Systems Engineer

Accenture Italia; Roma; On-site; EUR 32,000 - 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 and accelerators that scale beyond a single engagement.

This role sits at the heart of enterprise AI, focusing on end-to-end multi-agent orchestration, RAG pipelines, LLM integration, and observability in production.

Qualifications

• Hons-on experience designing and deploying agentic AI solutions in production environments.
• Production depth with agentic orchestration frameworks.
• Experience calling LLM APIs in production code.
• Ownership of RAG pipelines and vector databases.
• LLMOps: eval harness, prompt versioning, observability.
• Cloud-native: Kubernetes, Docker, microservices, CI/CD, IaC.
• Strong Python; Java or equivalent backend language.
• Proven track record shipping multiple production agentic systems.

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 — 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 (LangSmith, Braintrust, or equivalent), 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 individual client engagement and enable the next one to start faster
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms

Skills

Agentic AI design

Agentic orchestration

LLMOps fundamentals

RAG pipelines

LLM APIs in production

Kubernetes

Docker

Python

Java backend

Production debugging

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 and accelerators that scale beyond a single engagement.

This role sits at the heart of enterprise AI, focusing on end-to-end multi-agent orchestration, RAG pipelines, LLM integration, and observability in production.