AI Large Language Model (LLM) Technology Architect

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 role

you will spendthe majority ofyour 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,evaluatingand 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 partof 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 andvalidatesystems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role 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),componentdiagrams, 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 role 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,validatingthem 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,accurateoutputs

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

Design for cost efficiency and performance optimizingmodel usage, inference patterns, caching, and resourceutilizationto meet target latency, throughput, and cost objectives

Design, build, andvalidatesystems 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 solutionsremainhealthy, performant, and scalable in production

Produce detailed architecture artifacts

including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications,componentand data flow diagrams

that guide and enable broader engineering teams

Continuously learn, evaluate, and applynew designpatterns, 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,generativeand classical AI/ML using at least one cloud vendor.

Practical experience in the Agentic,LLMand 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 bigdata,machine learning. large scale analytical engineering solutions.

About Accenture Accenture is a leading global professional services company that helps the worlds leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen servicescreating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the worlds leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.?All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.?Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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