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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 design and deploy production agentic AI systems for enterprise clients across industries, owning the full stack from multi-agent orchestration through RAG pipelines to LLMOps in production. This role demands hands-on experience shipping real multi-agent systems in production, not prototypes—you'll embed with client teams, build reusable patterns, and work with the latest LLM APIs and frameworks at scale.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Hands-on experience designing and deploying agentic AI solutions in production
- Experience with agentic orchestration frameworks at production depth
- Direct experience calling LLM APIs in production code
- RAG pipeline ownership including embeddings and vector databases
- LLMOps fundamentals including eval harness design and prompt versioning
- Cloud-native engineering maturity with Kubernetes, Docker, microservices
- Strong Python proficiency
- Extensive software engineering experience in production environments
Nice to have
- Java or equivalent backend language
- Production observability and debugging experience