Production AI Engineer: Agentic Solutions Architect

Accenture UK; Newcastle upon Tyne; On-site; GBP 70,000 - 110,000; Full time

Job summary

Accenture UK is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the full enterprise tech stack in a client-facing role. You will work directly with client engineers, lead technical design sessions, and develop reusable patterns that scale across engagements.

The role requires hands-on production experience with agentic AI systems, multiple LLM providers, and strong backend skills in Python/Java, Kubernetes, and IaC, with a focus

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.
• Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction and latency/cost tradeoffs.
• RAG pipeline ownership: embeddings, chunking strategy, vector databases, and context engineering.
• 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; production debugging and observability.

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, 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 to client stakeholders.

Skills

Production-grade software engineering

Agentic AI solutions

LLM API integration

RAG pipelines

Orchestration frameworks

Python / Java

Kubernetes / Docker

CI/CD / IaC

Debugging & observability

Tools

LangGraph

CrewAI

AutoGen

Job description

Accenture UK is seeking an AI Engineer (Agentic/Applied) to design, build, and deploy production-grade agentic AI solutions across the full enterprise tech stack in a client-facing role. You will work directly with client engineers, lead technical design sessions, and develop reusable patterns that scale across engagements.

The role requires hands-on production experience with agentic AI systems, multiple LLM providers, and strong backend skills in Python/Java, Kubernetes, and IaC, with a focus