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AI Software Developer
AccentureListed on Accenture’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Design and deploy multi-agent AI systems in production for enterprise clients across diverse technology stacks, working alongside client engineering teams to build scalable agentic architectures that go far beyond prototypes. This role suits engineers who have shipped production agentic systems and understand the operational realities of AI agents in live environments.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Docker
- Helm
- Java
- Kubernetes
- LangGraph
- OpenAI
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- Vector Databases
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What they ask for
Required
- Production software engineering experience
- Minimum 1 year designing and deploying agentic AI systems 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, and vector databases
- LLMOps fundamentals including eval harness design and prompt versioning
- Cloud-native engineering: Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure-as-code
- Strong Python; Java or equivalent backend language; production debugging and observability experience