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AI Native SW Engineer
AccentureListed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role builds production-grade AI agent systems for enterprise clients, not prototypes—you'll design multi-agent orchestration, RAG pipelines, and LLMOps infrastructure that runs at scale inside real organizations. It suits engineers who have shipped agentic systems to production and understand the operational realities of AI in live environments.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Docker
- Helm
- Kubernetes
- LangGraph
- OpenAI API
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- Vector Databases
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What they ask for
Required
- 1+ years shipping agentic AI systems in production
- Experience with agentic orchestration frameworks at production depth
- Direct LLM API integration in production code
- RAG pipeline design and ownership
- LLMOps fundamentals including eval harnesses and observability
- Cloud-native engineering: Kubernetes, Docker, microservices, CI/CD
- Python proficiency or equivalent backend language
- Production debugging and observability experience
Nice to have
- Experience with multiple LLM providers
- Cost and latency optimization experience
- Policy-based routing implementation
- Memory management in multi-agent systems