Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager / Specialist Location: London YOU ...

Fulltime Ai Machine Learning Generative Ai

Fully remote

View details

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-nat...

Fulltime Ai Ai Engineer Generative Ai

Fully remote

View details

Principal Agentic AI Engineer – Analog Design Automation Location: San Jose, CA or fully remote from any US location ...

Remote Ai Ai Engineer Generative Ai

Fully remote

View details

We are seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help inter...

Fulltime Ai Ai Engineer Data Science

Fully remote

View details

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over...

Ai Machine Learning

Fully remote

View details

About SentrySoftware runs the world and the pace is faster than ever. Sentry helps developers fix errors and performa...

Fulltime Remote Ai

$240k - $320k · Senior Fully remote

View details

About the TeamOpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosys...

Fulltime Ai Data Engineer

$293k - $385k · Senior Fully remote

View details

We are looking for a m id-level AI Engineer to take ownership of end-to-end AI feature development and play a key rol...

Fulltime Ai Ai Engineer Data Science

Fully remote

View details

About the TeamOpenAI’s Safety teams work to ensure our products are safe, trusted, and resilient as frontier AI syste...

Fulltime Remote Ai Data Science

Fully remote

View details

About the TeamThe Safety Systems team is dedicated to ensuring the safety, robustness, and reliability of AI models a...

Fulltime Ai

$185k - $325k · Senior Fully remote

View details

About the TeamTraining Runtime designs the core distributed machine-learning training runtime that powers everything ...

Fulltime Machine Learning Ai

$205k - $445k · Senior Fully remote

View details

W Scalo zajmujemy się dostarczaniem projektów software'owych i wspieraniem naszych partnerów w rozwijaniu ich biznesu...

Ai Ai Engineer Generative Ai

Fully remote

View details

Nous accompagnons nos clients dans leur transformation numérique en mettant l'IA au service de l'innovation, de la pe...

Ai Ai Engineer Generative Ai

Fully remote

View details

Chez muchbetter.ai , on révolutionne la formation des commerciaux. Notre plateforme simule de vraies conversations cl...

Fulltime Ai Ai Engineer

Fully remote

View details

AI Engineer | Hybrid | London | Outside IR35 | 6 Months Cititec are working with a global financial markets organisat...

Contract Ai Ai Engineer

Fully remote

View details

AI Developer (SC Cleared) 700-800 per day | Inside IR35 | Hybrid, Glasgow Contract until September 2026 potential ext...

Contract Ai Ai Engineer

Fully remote

View details

Manager Lead AI Engineer (Audit Technology) A high-impact engineering leadership role at one of the world's most resp...

Fulltime Ai Ai Engineer

Fully remote

View details

DV Cleared Senior AI Engineer Location: London (Hybrid) Contract Type: Contract Day rate: 700 Outside Clearance Requi...

Contract Ai Ai Engineer Robotics

Fully remote

View details

REQ-10108952 02/07/2026 IT Engineering Amsterdam, Netherlands €5.677 - €9.137 ING Bank Save for Later This role was f...

Fully remote

View details

Over ItaQ ItaQ is een recruitmentbedrijf dat verandert in een AI-bedrijf dat recruitment oplost. We bouwen ons eigen,...

Fulltime Ai Engineer Generative Ai Ai

Fully remote

View details

Selected role

AI Large Language Model (LLM) Technology Architect

Accenture Paris, A8, FR

Senior Full-time

*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 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 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), 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 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, 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.

Showing 401–420 of 8,548 AI roles

1 … 19 20 22 23 428

Find your next AI role

AI Large Language Model (LLM) Technology Architect

[Job-30309] Ai Engineer, UK

Principal Agentic AI Engineer - Analog Design Automation

Applied AI Engineer

Machine Learning Engineer, Community Support Engineering

Staff Software Engineer, AI Developer Tooling

Data Engineer, CPU Storage

Gen AI Software Engineer

Data Scientist, Safety

Software Engineer, AI Safety

Training: ML Framework Engineer

AI Engineer

AI Engineer

AI Engineer (CDI)

AI Engineer - Cititec Talent Ltd

AI Engineer (SC Cleared)

Manager - Lead AI Engineer

DV Cleared Senior AI Engineer

AI Prompt Engineer

AI engineer