AI Native SW Engineering at Accenture

Location: London, England · Birmingham, England
Type: Full-time
Level: senior
Posted: Jul 29, 2026

Description

Accenture is hiring an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across enterprise technology stacks. The role covers multi-agent orchestration, RAG pipelines, LLM-provider integration, LLMOps, observability, client collaboration, and reusable engineering patterns. Candidates need extensive production software engineering experience, hands-on agentic AI deployment experience, agentic orchestration framework expertise, LLM API integration, RAG ownership, LLMOps fundamentals, cloud-native engineering, and strong Python or equivalent backend skills.

Required Skills

Multi-agent orchestration
RAG pipelines
LLMOps
Python
Kubernetes
Terraform
Vector search

Additional Information

Required Previous Experiences: Extensive software engineering experience in production environments
Hands-on experience designing and deploying agentic AI solutions in a production environment
Experience with agentic orchestration frameworks such as LangGraph, CrewAI, or AutoGen at production depth
Experience calling LLM APIs in production code and managing provider abstraction, tokens, latency, and cost
RAG pipeline ownership involving embeddings, chunking, vector databases, and context engineering
LLMOps fundamentals including eval harness design, prompt versioning, and production observability
Cloud-native engineering experience with Kubernetes, Docker, microservices, serverless, CI/CD, and infrastructure as code
Strong Python or equivalent backend language experience, including production debugging and observability
Preferred Qualifications: Experience shipping multiple production agentic systems