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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 multi-agent AI systems that solve real problems in enterprise environments, moving beyond prototypes to production systems that clients depend on. This role demands hands-on experience shipping agentic systems and mastery of the full stack—from LLM integration and RAG pipelines to observability and cost management—working directly with client engineering teams to build patterns that scale across engagements.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CI/CD
- CrewAI
- Docker
- Helm
- Infrastructure as Code
- Kubernetes
- LangGraph
- Microservices
- OpenAI API
- Python
- Retrieval-Augmented Generation
- Serverless Computing
- Terraform
- Vector Databases
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What they ask for
Required
- Extensive production software engineering experience
- Demonstrated experience designing and deploying agentic AI solutions in production
- Hands-on experience with agentic orchestration frameworks at production depth
- Direct experience calling LLM APIs in production code with provider abstraction and token management
- RAG pipeline ownership including embeddings, chunking strategy, and vector databases
- LLMOps fundamentals including eval harness design and prompt versioning
- Cloud-native engineering maturity with Kubernetes, Docker, microservices, and CI/CD
- Strong Python proficiency with production debugging and observability experience
Nice to have
- Java or equivalent backend language experience
- Experience with multiple LLM providers and fallback routing strategies