Associate architect Work, Jobs in Teddington, Gtl (with Salaries)

AI Large Language Model (LLM) Technology Architect
Accenture —London
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Technical Architect/Technologist (Associate) - Development Consultancy
PRP —London
- Full-time
- Hybrid work
- Construction experience
Professional Services Graduate, Associate to Consultant (A2C)
AWS EMEA SARL (UK Branch) —London
- Full-time
- Oracle
- Computer Science
- Engineering
8d
AI Large Language Mode (LLM) Technology Lead/Principal Architect
Accenture —London
- Full-time
- Master's degree
- Bachelor's degree
- Machine learning
Legal Solutions Architect (CRE Lawyer)
Orbital —London
- Full-time
- Hybrid work
- Annual leave
- Flexible schedule
Senior Associate, Technical Architect (Transit)
Arcadis —London
- Leadership
- Communication skills
Private (Prime) Residential Associate
Purcell Architecture —London
- £56,000 - £67,000 a year
- Full-time
- Hybrid work
- AutoCAD
- Business development
- Project management
- Annual leave
- Work from home
Enterprise AI Architect
T. Rowe Price —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Associate Director – Architect (Expert and Advisory Services)
Rimkus Consulting UK Limited - UK —London
- Hybrid work
- Master's degree
- Construction experience
- Communication skills
Quick apply
Associate Director - Architecture
AECOM —London
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
senior AI/ML Computational Scientist
Accenture —London
- Full-time
- Doctoral degree
- Computer Science
- Java
13d
Senior Architect
AECOM —London
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- AutoCAD
Customer Solution Manager - TikTok Shop (Italian/Spanish/Dutch/Polish speaker) (Third Party Associate)
TikTok —London
- Temporary
- Spanish
- English
- Project management
Associate Director, Platform Architect (Technology Industry), Engineering, Technology & Transformation
Deloitte —London
- Hybrid work
- Azure
- DevOps
- Business development
Architect - London
Bryden Wood —London
- Hybrid work
- English
- Master's degree
- Analysis skills
8d
Power BI engineer with Financial/ Wealth/Asset management domain exp (Associate Data Architect I)
UST —London
- Hybrid work
- Azure
- SQL
- Agile
Quick apply
12d
Senior Software Engineer - Adobe Experience Manager (AEM)
Nuffield Health —Epsom
- Full-time
- Hybrid work
- Azure
- Java
- JavaScript
- Employee discount
- Gym membership
13d
Learning and Development Architect
Blue Yonder —London
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Project management
Group Transformation Associate
Reckitt —Uxbridge
- Microsoft Powerpoint
- Microsoft Excel
- PMP
- Employee assistance programme
- Life insurance
1d
Project Coordinator / Team Administrator
ZHA —London
- Microsoft Powerpoint
- Microsoft Outlook
- IT

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associate architect jobs near teddington, gtl

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 architect jobs in teddington, gtl

AI Large Language Model (LLM) Technology Architect

Technical Architect/Technologist (Associate) - Development Consultancy

Professional Services Graduate, Associate to Consultant (A2C)

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

Legal Solutions Architect (CRE Lawyer)

Senior Associate, Technical Architect (Transit)

Private (Prime) Residential Associate

Enterprise AI Architect

Associate Director – Architect (Expert and Advisory Services)

Associate Director - Architecture

senior AI/ML Computational Scientist

Senior Architect

Customer Solution Manager - TikTok Shop (Italian/Spanish/Dutch/Polish speaker) (Third Party Associate)

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

Architect - London

Power BI engineer with Financial/ Wealth/Asset management domain exp (Associate Data Architect I)

Senior Software Engineer - Adobe Experience Manager (AEM)

Learning and Development Architect

Group Transformation Associate

Project Coordinator / Team Administrator

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