1 day ago
Málaga, Spain +2 moreStaff+
Responsibilities
- Architect and govern production-grade agentic systems using multi-agent orchestration, RAG, policy-based routing, memory management, and lifecycle observability.
- Define RAG standards covering chunking, embeddings, quality benchmarks, and documented tradeoffs.
- Establish multi-LLM integration standards, provider abstraction, fallback routing, and cost governance.
- Own programme-level LLMOps, including evaluation strategy, prompt governance, observability, safety monitoring, and cost controls.
- Lead client architecture sessions, proof-of-concept delivery, and alignment between technology leaders and delivery teams.
- Create reusable engineering patterns, accelerators, and standards across client engagements.
- Define and present accuracy, latency, safety, cost, and business-impact metrics to senior stakeholders.
- Manage, develop, and performance-manage engineers, including development plans and career conversations.
Requirements
- Production software engineering experience.
- Hands-on experience designing and deploying agentic AI solutions in production is required.
- Production-depth experience with LangGraph, CrewAI, AutoGen, or an equivalent agentic orchestration framework.
- Production experience calling OpenAI, Anthropic, or Vertex AI LLM APIs, including provider abstraction, token management, and latency and cost tradeoffs.
- Ownership of RAG pipelines involving embeddings, chunking strategies, vector databases, and context engineering.
- LLMOps experience with evaluation harnesses, prompt versioning, and production observability.
- Cloud-native engineering experience with Kubernetes, Docker, serverless systems, and infrastructure-as-code using Terraform or Helm.
- Strong Python skills; Java or an equivalent backend language is acceptable.
- Production debugging and observability experience.
- Experience managing, developing, and performance-managing a team of engineers.
- Candidates who have shipped multiple production agentic systems are preferred over candidates with only passive AI exposure.
Tech Stack
Categories
Forward Deployed
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.