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AI Native SW Engineering
AccentureListed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
You will design and deploy production agentic AI systems for enterprise clients, working across the full stack from multi-agent orchestration to RAG pipelines and LLMOps. This role is for engineers with proven shipping experience in production AI systems, not just prototyping, who can architect solutions that integrate multiple LLM providers and scale beyond individual engagements.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Docker
- Embeddings
- Helm
- Java
- Kubernetes
- LangGraph
- OpenAI API
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- Vector Databases
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What they ask for
Required
- Production agentic AI system deployment experience
- Multi-agent orchestration framework experience at production depth
- LLM API integration in production code
- RAG pipeline ownership
- LLMOps fundamentals including eval harness design
- Cloud-native engineering with Kubernetes and Docker
- Strong Python or equivalent backend language
- Production debugging and observability experience
Nice to have
- Experience with multiple LLM providers and fallback routing
- Cost and latency optimization across providers
- Prompt versioning and management tooling
- Client-facing workshop and architecture walkthrough delivery