Principal full stack engineer full or part time Work, Jobs (with Salaries)

AI Large Language Model (LLM) Technology Architect
Accenture —London
- Full-time
- Master's degree
- Bachelor's degree
- AI
Principal Data Engineer
Anaplan —London
- Databases
- Communication skills
Quick apply
Tech Lead Manager - AI Squad
Which? —London
- £84,000 - £97,000 a year
- Hybrid work
- Engineering
- Team management
- Mentoring
Principal DevOps Engineer
Catapult Sports —London
- DevOps
- Continuous improvement
- Leadership
Quick apply
Mechanical Design Engineer
Expleo —Barnstaple
- Hybrid work
- Microsoft Powerpoint
- Microsoft Word
- Engineering
6d
Principal Software Engineer AI Native*
Aventum Group —London
- Full-time
- Hybrid work
- Databases
- Mentoring
- Software development
Principal Platform Security Engineer
Hiscox —York
- Full-time
- DevOps
- Continuous improvement
- Agile
Principal Data Scientist
OFGEM —Cardiff
- £52,397 - £62,699 a year
- Full-time
- Hybrid work
- Azure
- Presentation skills
- Machine learning
- Annual leave
- Flexible schedule
Principal Data Engineer
ComplyAdvantage —London
- Hybrid work
- Master's degree
- AI
- Communication skills
- Annual leave
- Life insurance
Quick apply
Principal Technology Architect Hybrid Cloud Platforms -Germany, UK, Netherlands
Infosys —London
- Leadership
- Communication skills
Principal Engineer
CoreWeave Europe —London
- Employee assistance programme
Quick apply
Principal Engineer - AI
Anaplan —London
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Principal Computer Vision Engineer
Catapult Sports —London
Quick apply
Forward Deployed Engineer
GWI —London
- Hybrid work
- Master's degree
- Travel
- Mentoring
- Annual leave
- Flexitime
Technical Lead, Developer Experience
Ably —London
- Remote
- Agile
- AI
- Leadership
- Annual leave
Principal Engineer (Cloud) - AWS
QinetiQ —Farnborough
- £76,500 - £85,000 a year
- Full-time
- AWS
- Employee discount
Principal Engineer (iGaming)
CreateFuture —London
- Hybrid work
- Team management
- Travel
- Mentoring
Quick apply
11d
Machine Learning Engineer
Almedia —London
- £130,000 - £230,000 a year
- Full-time
- Machine learning
- AI
Principal Machine Learning Engineer
Anaplan —London
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Principal Machine Learning Engineer
ComplyAdvantage —London
- Hybrid work
- Master's degree
- Maths
- AI
- Annual leave
- Life insurance
Quick apply

I want to receive the latest job alerts for principal full stack engineer full or part time

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

AI Large Language Model (LLM) Technology Architect

Accenture -
London

Apply Now

Job details

Full-time

Qualifications

Performance tuning
Data integration
Law
Master's degree
Bachelor's degree
Deep learning
Natural language processing
Design documentation
AI
Software development or architecture experience
Python
Software architecture

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

principal full stack engineer full or part time jobs

AI Large Language Model (LLM) Technology Architect

Principal Data Engineer

Tech Lead Manager - AI Squad

Principal DevOps Engineer

Mechanical Design Engineer

Principal Software Engineer AI Native*

Principal Platform Security Engineer

Principal Data Scientist

Principal Data Engineer

Principal Technology Architect Hybrid Cloud Platforms -Germany, UK, Netherlands

Principal Engineer

Principal Engineer - AI

Principal Computer Vision Engineer

Forward Deployed Engineer

Technical Lead, Developer Experience

Principal Engineer (Cloud) - AWS

Principal Engineer (iGaming)

Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning Engineer

I want to receive the latest job alerts for principal full stack engineer full or part time

Related Searches

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected