London: Hands-on Enterprise AI & LLM Architect

3700 Accenture N.V. Company; Herentals; On-site; EUR 106,000 - 153,000; Full time

Job summary

Accenture is seeking an AI Large Language Model (LLM) Technology Architect to lead hands-on design and delivery of enterprise AI systems. In this associate manager/specialist role, you will architect, implement, and evaluate end-to-end AI solutions across generative AI, agentic systems, and classical ML, working with client engagements.

You will collaborate with data and ML engineers, produce ADRs and diagrams, ensure security and governance, optimize costs, and drive scalable architectures that

Qualifications

• Proven experience designing & deploying enterprise-grade AI/ML solutions.
• Experience with agentic, generative and classical AI across at least one cloud vendor.
• Practical experience in Agentic, LLM and Generative AI space.
• Strong Python coding skills and production ML/NLP deployments.
• Several years of hands-on experience as an ML architect designing large-scale data/engineering solutions.

Responsibilities

• Independently design, build, and deliver AI components end to end.
• Design and implement agent architectures with multi-agent orchestration and memory.
• Evaluate design options balancing capability, cost, performance.
• Build and validate end-to-end RAG pipelines and context layers.
• Develop governance, observability, and security controls.
• Produce ADRs and architecture diagrams to guide teams.

Skills

Python

Agentic AI

Generative AI

Enterprise AI

Cloud experience

Education

Bachelor's Degree or equivalent

Job description

Accenture is seeking an AI Large Language Model (LLM) Technology Architect to lead hands-on design and delivery of enterprise AI systems. In this associate manager/specialist role, you will architect, implement, and evaluate end-to-end AI solutions across generative AI, agentic systems, and classical ML, working with client engagements.

You will collaborate with data and ML engineers, produce ADRs and diagrams, ensure security and governance, optimize costs, and drive scalable architectures that