Experteer Overview
As an AI Engineer (Agentic/Applied), you design, build, and deploy production-grade agentic AI systems for enterprise-scale environments. You collaborate with client engineering teams, lead technical design sessions, and create reusable patterns to scale across engagements. This role sits at the core of Accenture’s AI engineering practice, offering breadth across industries and direct access to leading AI teams. You will shape production systems, governance, and observability, delivering measurable business impact.

Compensaciones / Beneficios
• Architect and govern production-grade agentic systems at enterprise scale (multi-agent orchestration, RAG pipelines, memory management, lifecycle observability)
• Define RAG pipeline standards, chunking/embedding strategies, quality benchmarks, and transferable metrics
• Set multi-LLM integration standards with vendor-agnostic design, fallback routing, and cost governance across providers
• Own LLMOps at programme scale (eval strategy, prompt governance, observability tooling, safety monitoring, cost controls)
• Lead client engineering engagements at senior level (architecture sessions, PoC delivery, alignment with leadership)
• Shape and publish reusable patterns, accelerators, and engineering standards for scalable adoption




• Own measurement framework for agentic system quality (accuracy, latency, safety, cost) and present AI impact to senior stakeholders

Responsabilidades
• Hands-on experience designing and deploying agentic AI solutions in production
• Experience with agentic orchestration frameworks at production depth (e.g., LangGraph, CrewAI, AutoGen)
• Direct experience calling OpenAI, Anthropic, Vertex AI APIs in production code (provider abstraction, token management, latency/cost tradeoffs)
• RAG pipeline ownership (embeddings, chunking, vector databases, context engineering)
• LLMOps fundamentals (eval harness design, prompt versioning, production observability)
• Cloud-native engineering maturity (Kubernetes, Docker, microservices, CI/CD, IaC like Terraform/Helm)
• Strong Python; Java or equivalent backend language; production debugging/observability
• Track record shipping multiple production agentic systems; leadership in people management and performance development

Requisitos principales
• vendor fellowship access inside leading AI teams (Anthropic, OpenAI, Microsoft, Google)
• broad industry exposure and enterprise-scale impact
• career development and leadership opportunities
• full-time, integral team collaboration

📌 AI Native Manager (Málaga)
🏢 Accenture
📍 Málaga