Associate landscape architect Work, Jobs in London (with Salaries)

AI Large Language Model (LLM) Technology Architect
Accenture —London
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Associate Director Landscape Architect / Landscape Planner - London
WSP —London
- Part-time
- Hybrid work
- English
- Master's degree
- Communication skills
- Flexitime
- Work from home
AI Large Language Mode (LLM) Technology Lead/Principal Architect
Accenture —London
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Accelerator / Cross-Train - Associate Business Consultant
Columbus United Kingdom —London
- £29,000 a year
- Hybrid work
- Microsoft Excel
- Communication skills
Quick apply
Associate Director, Platform Architect (Technology Industry), Engineering, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- DevOps
- Business development
Associate Business Consultant - Accelerator / Cross-Train
Columbus United Kingdom —Watford
- £29,000 a year
- Hybrid work
- Microsoft Excel
- Communication skills
Quick apply
Associate / Analyst – Copilot Studio (Power Platform / SharePoint)
Avanade —London
- Analysis skills
- Bachelor's degree
- No degree
12d
Founding Sales Development Representative
Dragonfly —London
- £40,000 - £60,000 a year
- Full-time
- Hybrid work
- IT
- Communication skills
- Annual leave
Quick apply
Associate Director, LSHC, Private Sector, Future Organisation – Human Capital, Technology & Transformation
Deloitte —London
- Hybrid work
- Management
- Sales
- Data analysis skills
Associate, Client Integrations Engineer
Epsilon —London
- Full-time
- Hybrid work
- Computer Science
- SQL
- Bachelor's degree
Senior Java Developer - Associate/VP
Instinet —London
- Weekend availability
- Hybrid work
- Java
- SQL
- Computer networking
Sales Engineer
Alteryx —London
- Full-time
- Azure
- Sales
- SQL
Telco Security Architect
Capgemini Sogeti —London
- Hybrid work
- Travel
- APIs
- Leadership
Data Engineer
Capgemini Sogeti —London
- Hybrid work
- Azure
- Java
- AWS
Enterprise Architect - AI
World Wide Technology Holding, LLC —London
- Remote
- Azure
- Computer Science
- Engineering
External Wall Consultant
CHPK Group —London
- £50,000 - £63,000 a year
- Full-time
- Engineering
- Master's degree
- Bachelor's degree
Quick apply
Data Products Architect – Databricks
Cognizant —London
- Full-time
- Hybrid work
- SQL
- AWS
- Mentoring
10d
Pre-Sales Consultant
Xtravirt —Leatherhead
- Hybrid work
- Azure
- AWS
- Agile
- Employee assistance programme
AWS Data Solution Architect
Capgemini Sogeti —London
- Hybrid work
- Azure
- AWS
- Analysis skills
Staff Software Engineer - Back End
Capital One UK —London
- Full-time
- Hybrid work
- Azure
- System design
- Java

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AI Large Language Model (LLM) Technology Architect

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

Law
Master's degree
Bachelor's degree
Machine learning
Deep learning
Natural language processing
AI
Python

Full job description

AI Large Language Model (LLM) Technology Architect

Career Level: Associate Manager / Specialist

Location: London

YOU ARE

As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on — you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures — including multi-agent orchestration, tool use, skills use, and memory systems — and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.

You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.

THE WORK

Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands-on practitioner

Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices

Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping

Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability

Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements

Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs

Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization

Design and build the AI context layer — including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge

Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources

Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs

Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements

Design for cost efficiency and performance — optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives

Design, build, and validate systems against enterprise non-functional requirements — implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI

Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable

Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutions remain healthy, performant, and scalable in production

Produce detailed architecture artifacts — including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams — that guide and enable broader engineering teams

Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability

Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Practical experience in the Agentic, LLM and Generative AI space.

Well versed in coding using python

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 in the industry designing big data, machine learning. large scale analytical engineering solutions.

Apply Now

Refine Your Search

associate landscape architect jobs in london

AI Large Language Model (LLM) Technology Architect

Associate Director Landscape Architect / Landscape Planner - London

AI Large Language Mode (LLM) Technology Lead/Principal Architect

Accelerator / Cross-Train - Associate Business Consultant

Associate Director, Platform Architect (Technology Industry), Engineering, Technology & Transformation

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Associate / Analyst – Copilot Studio (Power Platform / SharePoint)

Founding Sales Development Representative

Associate Director, LSHC, Private Sector, Future Organisation – Human Capital, Technology & Transformation

Associate, Client Integrations Engineer

Senior Java Developer - Associate/VP

Sales Engineer

Telco Security Architect

Data Engineer

Enterprise Architect - AI

External Wall Consultant

Data Products Architect – Databricks

Pre-Sales Consultant

AWS Data Solution Architect

Staff Software Engineer - Back End

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