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Listed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You'll architect and deploy production-grade multi-agent AI systems for enterprise clients across the full technology stack, combining agentic system design with LLMOps at scale. This role suits experienced AI engineers who have shipped production agentic systems, managed eval frameworks, and can lead complex client engagements while establishing reusable patterns across the practice.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Docker
- Helm
- Kubernetes
- LangGraph
- OpenAI API
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- Vector Databases
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What they ask for
Required
- Shipped multi-agent systems in production
- Hands-on agentic AI deployment experience
- Experience with LangGraph, CrewAI, AutoGen, or equivalent at production depth
- LLM API integration (OpenAI, Anthropic, Vertex AI) in production code
- RAG pipeline ownership including embeddings, chunking, and vector databases
- LLMOps fundamentals including eval harness and prompt versioning
- Cloud-native engineering with Kubernetes, Docker, microservices, and IaC
- Strong Python or equivalent backend language
- Team management and people leadership experience
Nice to have
- Java or other backend languages
- Experience with open-source LLM models
- Forward Deployed Engineer programme interest