AI Large Language Model (LLM) Technology Architect

Salary: £50,000 - 75,000 per year

Requirements:

• Bachelors degree or equivalent
• Proven experience designing and deploying enterprise-grade advanced AI solutions using agentic, generative, and classical AI/ML with at least one cloud vendor
• Practical experience in the agentic, LLM, and generative AI space
• Strong Python coding skills
• Solid foundation in architecting and operationalizing LLM-driven application architecture patterns
• Professional working experience in coding engineering, machine learning, deep learning, and NLP solutions and applications
• Several years of hands-on experience as a machine learning architect designing big data, machine learning, and large-scale analytical engineering solutions

Responsibilities:

• Independently design, build, and deliver software components across the AI architecture from design through implementation, integration, and testing
• Design and build AI agent architectures, including individual agents, prompts, tools, skills, multi-agent orchestration, and memory systems
• Design and implement agent orchestration patterns for task handoffs, communication, state management, and error recovery
• Evaluate multiple design options and technical approaches and make justified design choices that balance capability, cost efficiency, performance, and reliability
• Design and build evaluation strategies and harnesses to measure agent and system quality and improve designs based on results
• Architect and implement foundation model integrations, including model selection, invocation patterns, fine-tuning, RAG, and custom integration approaches
• Design and build model adaptation and fine-tuning pipelines
• Design and build the AI context layer, including context graph design, ingestion pipelines, and retrieval components
• Build embedding, vector storage, and retrieval into end-to-end RAG pipelines connected to enterprise data sources
• Design and implement context assembly and memory components for grounded and accurate outputs
• Identify, design, and build reusable components and solution patterns that can be templated across engagements
• Design for cost efficiency and performance by optimizing model usage, inference patterns, caching, and resource utilization
• Design, build, and validate systems against enterprise non-functional requirements, including security and Responsible AI controls
• Build governance controls, including versioning, audit logging, lineage tracking, and model documentation
• Build observability into systems through logging, tracing, monitoring, alerting, and cost tracking
• Produce detailed architecture artifacts such as ADRs, blueprints, design documents, integration specifications, and diagrams
• Continuously learn and apply new design patterns, frameworks, and technologies across the AI landscape
• Collaborate with cross-functional delivery teams to translate requirements into concrete architecture decisions

Technologies:

• AI
• Architect
• Big Data
• Cloud
• Fine-tuning
• LLM
• Machine Learning
• Python
• RAG
• Security
• Flow
• Windows

More:

We are Accenture, a leading global professional services company helping organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. We serve clients in more than 120 countries with a strong focus on cloud, data, and AI, and we bring together strategy, technology, operations, industry expertise, and global delivery capability to create 360 value. This is a full-time role based in London, working as a hands-on AI Large Language Model Technology Architect within cross-functional delivery teams. Our culture is built on shared success, innovation, and inclusion, and we are committed to creating a trusted and lasting impact for our clients, each other, and our communities.

last updated 34 week of 2026