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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
This role combines deep AI engineering expertise with client-facing technical leadership at an enterprise services firm specializing in agent-powered systems. You'll architect production agentic solutions, set multi-LLM integration standards across engagements, and mentor engineering teams while working directly with Fortune 500 clients to deploy AI workflows at scale.
Our summary, not Accenture’s wording. The full posting is on their site.
Skills this role names
- CI/CD
- CrewAI
- Docker
- Helm
- Kubernetes
- LangGraph
- Microservices
- OpenAI API
- Prompt Engineering
- Python
- Retrieval-Augmented Generation (RAG)
- Serverless Computing
- Terraform
- Vector Databases
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What they ask for
Required
- Production experience designing and deploying agentic AI systems
- Hands-on agentic orchestration framework experience at production depth
- Direct LLM API integration experience across multiple providers
- RAG pipeline ownership including embeddings and chunking strategy
- LLMOps fundamentals including eval harness design and production observability
- Cloud-native engineering maturity with Kubernetes, Docker, microservices, and CI/CD
- Strong Python or equivalent backend language with production debugging experience
- Team management and engineering leadership experience
Nice to have
- Experience with multiple agentic orchestration frameworks
- Familiarity with open-source LLM models
- Infrastructure-as-Code experience with Terraform or Helm
- Cross-vertical domain experience in finance, healthcare, or retail