Production-Grade Agentic AI Engineer

Accenture; Newcastle upon Tyne; On-site; GBP 90,000 - 120,000; Full time

Job summary

Accenture in the United Kingdom is seeking an experienced AI Engineer (Agentic/Applied) to design, build, and deploy production‑grade agentic AI solutions across the enterprise technology stack. You will work with client engineering teams, lead technical design sessions, and create reusable patterns that scale beyond a single engagement.

The role requires hands‑on production experience with agentic orchestration, RAG pipelines, and integration of OpenAI, Anthropic, Vertex AI or open‑source

Qualifications

• Significant software engineering experience in production environments.
• Hands-on experience designing and deploying agentic AI solutions in a production environment — non-negotiable.
• Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code.
• LLMOps fundamentals: eval harness design, prompt versioning, and production observability.
• Cloud-native engineering maturity: Kubernetes, Docker, microservices, serverless, CI/CD, and IaC (Terraform or Helm)
• Strong Python; Java or equivalent backend language acceptable; production debugging and observability experience.
• Quality of experience is weighted over years; production ships preferred over mere exposure.

Responsibilities

• Design and build production-grade agentic solutions 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 (LangSmith, Braintrust, or equivalent), cost and safety monitoring
• Embed directly with client engineering teams to analyse the SDLC to identify AI/agentic opportunities and use cases, 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

Python

Java

Kubernetes

Docker

LLMOps

Agentic AI

Production debugging

LangSmith

LangGraph

CrewAI

AutoGen

Tools

LangSmith

Braintrust

LangGraph

CrewAI

AutoGen

Job description

Accenture in the United Kingdom is seeking an experienced AI Engineer (Agentic/Applied) to design, build, and deploy production‑grade agentic AI solutions across the enterprise technology stack. You will work with client engineering teams, lead technical design sessions, and create reusable patterns that scale beyond a single engagement.

The role requires hands‑on production experience with agentic orchestration, RAG pipelines, and integration of OpenAI, Anthropic, Vertex AI or open‑source