Senior AI Agentic Engineer — Production Systems

Accenture PLC; Greater London; On-site; GBP 110,000 - 160,000; Full time

Job summary

Accenture PLC seeks an experienced AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise tech stack in London. You will collaborate with client teams, lead technical design sessions, and create reusable patterns that scale beyond engagements.

In this role, you will own RAG pipelines, integrate multiple LLM providers, and implement LLMOps in production, ensuring observability, cost control, and reliability at scale.

Qualifications

• Extensive production software engineering experience.
• Hands-on experience designing and deploying agentic AI solutions in production.
• Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen in production depth.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
• RAG pipeline ownership: embeddings, chunking, vector databases, context engineering.
• LLMOps fundamentals: eval harness design, prompt versioning, production observability.
• Cloud-native engineering: Kubernetes, Docker, microservices, serverless, CI/CD, IaC.
• Strong Python; Java or equivalent backend language; production debugging & observability.

Responsibilities

• Design and build production-grade agentic systems end-to-end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, and lifecycle observability.
• Build and own RAG pipelines: embeddings, chunking strategy, vector search, context window engineering and tuning against real quality targets.
• Integrate and abstract across multiple LLM providers - OpenAI, Anthropic, Vertex AI, and open-source models - with fallback routing, token, cost, and latency management.
• Implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring.
• Embed directly with client engineering teams to design, prototype, and deploy agentic solutions - workshops, proofs of concept, code-with sessions, and architecture walkthroughs.
• Build reusable patterns, accelerators, and playbooks that scale beyond the individual client engagement and enable the next one to start faster.
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings and recommendations to client stakeholders in business terms.

Skills

Production software engineering

Agentic AI design

LLMOps & observability

Python & backend

Cloud-native infra

Tools

LangGraph

CrewAI

AutoGen

LangSmith

Braintrust

Job description

Accenture PLC seeks an experienced AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across the enterprise tech stack in London. You will collaborate with client teams, lead technical design sessions, and create reusable patterns that scale beyond engagements.

In this role, you will own RAG pipelines, integrate multiple LLM providers, and implement LLMOps in production, ensuring observability, cost control, and reliability at scale.