A
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-grade AI agent systems for enterprise clients at scale, moving beyond prototypes to systems running real business operations. This role suits experienced AI engineers who have shipped multi-agent systems in production and want to scale patterns across an organization with access to major AI vendors and a pathway into specialized technical leadership.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CrewAI
- Docker
- Helm
- Java
- Kubernetes
- LangGraph
- OpenAI API
- Python
- Retrieval-Augmented Generation (RAG)
- Terraform
- Vector Databases
Log in to see which of these are already on your profile.
What they ask for
Required
- Production experience designing and deploying agentic AI systems
- Hands-on work with agentic orchestration frameworks at production scale
- Direct LLM API integration experience across multiple providers
- RAG pipeline design and ownership including embeddings and vector databases
- LLMOps fundamentals including eval harness design and observability
- Cloud-native engineering with Kubernetes, Docker, and CI/CD
- Strong Python or equivalent backend language
- Experience managing and developing an engineering team
Nice to have
- Java or equivalent second backend language
- Terraform or Helm Infrastructure as Code experience