Production AI Engineer: Multi-Agent Systems & RAG Orchestration

Accenture Infrastructure and Capital Projects, LLC; Barcelona; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

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

You will own RAG pipelines, integrate with multiple LLM providers, and drive eval harnesses, observability, and cost/safety monitoring in production environments. Strong backend expertise required.

Formación

• Strong software engineering experience in production environments.
• Hands-on experience designing and deploying agentic AI solutions in production.
• Demonstrated experience with agentic orchestration frameworks at production depth.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
• RAG pipeline ownership including embeddings and vector databases.
• LLMOps fundamentals: eval harness design, prompt versioning, observability.
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC.
• Strong Python; Java or equivalent backend language. production debugging and observability.

Responsabilidades

• 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, vector search, context window engineering and tuning against quality targets.
• Integrate and abstract across multiple LLM providers with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses with metrics, prompt versioning, observability tooling, cost and safety monitoring.
• Embed with client engineering teams to design, prototype, and deploy agentic solutions through workshops and proofs of concept.
• Build reusable patterns and playbooks to scale across engagements.

Conocimientos

Production software engineering

Agentic AI design

LLMOps fundamentals

Python

Java

LLM APIs

RAG pipelines

Multi-agent systems

Observability

Kubernetes

Docker

CI/CD

Terraform

Helm

LangGraph/CrewAI/AutoGen

Herramientas

Kubernetes

Docker

Terraform

Helm

CI/CD

Descripción del empleo

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

You will own RAG pipelines, integrate with multiple LLM providers, and drive eval harnesses, observability, and cost/safety monitoring in production environments. Strong backend expertise required.