AI Agentic Systems Lead (Production-Grade)

Accenture Infrastructure and Capital Projects, LLC; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across enterprise tech stacks. You will lead technical design sessions with client teams and develop reusable patterns that scale beyond individual engagements.

The role emphasizes hands-on experience with agentic orchestration, LLM APIs, RAG pipelines, and LLMOps in production, working across OpenAI, Anthropic, Vertex AI, and open-source models.

Qualifications

• 5+ years of software engineering in production environments.
• At least 1 year designing and deploying agentic AI solutions in production.
• Experience with agentic orchestration frameworks at production depth (LangGraph, CrewAI, AutoGen).
• Direct experience calling LLM APIs in production code with provider abstraction, latency and cost considerations.
• RAG pipeline ownership including embeddings, chunking, vector databases, and context engineering.
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, CI/CD, and IaC (Terraform or Helm).
• Strong Python; Java or equivalent backend language with production debugging/observability experience.

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
• Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to client stakeholders

Skills

Agentic AI

LangGraph

CrewAI

AutoGen

LLMOps

Kubernetes

Docker

Python

Java

Production debugging

Context engineering

Tools

LangGraph

CrewAI

AutoGen

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI systems across enterprise tech stacks. You will lead technical design sessions with client teams and develop reusable patterns that scale beyond individual engagements.

The role emphasizes hands-on experience with agentic orchestration, LLM APIs, RAG pipelines, and LLMOps in production, working across OpenAI, Anthropic, Vertex AI, and open-source models.