Enterprise AI/LLM Architect - Hands-On & Scalable

Accenture UK

Greater London

On-site

GBP 90,000 - 150,000

Full time

3 days ago
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Job summary

Accenture is seeking an experienced AI/LLM Architect in London to design and build advanced AI systems for enterprise clients. This hands-on role focuses on agentic and generative AI, integrating foundation models, context layers, and scalable architectures across MLOps.

You will partner with data engineers and application developers to deliver robust, secure solutions. The ideal candidate has a track record of delivering enterprise AI projects, strong Python skills, and a deep understanding of

Qualifications

  • Hold an active Anthropic certification.
  • Proven experience in designing & deploying enterprise grade AI/ML solutions.
  • Experience with agentic, generative, and classical AI/ML on at least one cloud vendor.
  • Hands-on experience in Python coding.
  • Several years as a machine learning architect in the industry.

Responsibilities

  • Independently design, build, and deliver AI software components end to end.
  • Architect AI agent systems with prompts, tools, and memory.
  • Implement multi-agent orchestration and memory management.
  • Balance capability, cost, performance with enterprise reliability.
  • Develop evaluation strategies for accuracy, relevance, and faithfulness.
  • Integrate foundation models via fine-tuning, RAG, and custom integrations.
  • Build AI context layer connecting knowledge bases and data sources.
  • Ensure security, observability, governance, and performance.
  • Produce ADRs, diagrams, and design docs guiding teams.
  • Collaborate with data/ML engineers and application developers.

Skills

Anthropic certification
Python coding
AI architecture
Hands-on deployment

Education

Bachelor's Degree or equivalent

Tools

Python

Job description

Accenture is seeking an experienced AI/LLM Architect in London to design and build advanced AI systems for enterprise clients. This hands-on role focuses on agentic and generative AI, integrating foundation models, context layers, and scalable architectures across MLOps.

You will partner with data engineers and application developers to deliver robust, secure solutions. The ideal candidate has a track record of delivering enterprise AI projects, strong Python skills, and a deep understanding of

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