Hands-On AI/LLM Architect for Enterprise Solutions

Accenture UK & Ireland; Greater London; Sur place; GBP 120 000 - 180 000; Plein temps

Résumé du poste

Accenture UK & Ireland in London is seeking a hands-on AI/LLM Architect to design and build advanced AI systems for enterprise clients. The role is highly technical, focusing on architecture, engineering, and delivering real-world AI solutions across ML, generative AI, and agentic systems.

You will collaborate with data engineers and application developers, produce architecture artifacts, implement model integrations, and ensure security, observability, governance, and scalability in production.

Qualifications

• Hold an active Anthropic certification.
• Proven experience in designing & deploying enterprise grade advanced AI solutions using agentic, generative and classical AI/ML.
• Well versed in coding using Python.
• Solid foundation in architecting and operationalizing LLM driven application architecture patterns.

Responsabilités

• Design and build AI agent architectures with multi-agent orchestration, tools, and memory systems.
• Implement foundation model integrations (fine-tuning, RAG, custom integration).
• Develop architecture artifacts (ADRs, diagrams, data flows) to guide engineering teams.
• Collaborate with data engineers, ML engineers, and application developers to translate requirements into architecture decisions.

Connaissances

Anthropic certification

Python

Architectural design

ML/NLP

Formation

Bachelor's Degree or equivalent

Outils

Python

Description du poste

Accenture UK & Ireland in London is seeking a hands-on AI/LLM Architect to design and build advanced AI systems for enterprise clients. The role is highly technical, focusing on architecture, engineering, and delivering real-world AI solutions across ML, generative AI, and agentic systems.

You will collaborate with data engineers and application developers, produce architecture artifacts, implement model integrations, and ensure security, observability, governance, and scalability in production.