At a Glance
- Tasks: Design and deliver enterprise AI solutions using cutting-edge Microsoft technologies.
- Company: Leading consultancy transforming AI ambitions into real-world capabilities.
- Benefits: Up to £120k salary, bonuses, remote work, and professional development opportunities.
- Other info: Join a dynamic team with significant client demand and growth potential.
- Why this job: Influence AI adoption and tackle complex challenges at enterprise scale.
- Qualifications: Experience in enterprise AI solutions and strong knowledge of Microsoft Azure technologies.
The predicted salary is between 80000 - 100000 £ per year.
Up to £120k + Bonus + Benefits
Remote (UK) | Occasional Client Travel
AI is moving beyond experimentation and this consultancy is helping some of the UK's largest organisations turn AI ambition into real-world capability. We're looking for an experienced AI Architect to join a growing AI practice, designing and delivering secure, scalable and production-ready AI solutions across enterprise environments.
This is a role for someone who understands that successful AI transformation requires more than selecting the latest models. It requires strong architecture, robust data foundations, governance, security, and the ability to translate emerging technologies into measurable business outcomes.
Working across Generative AI, Agentic AI, Machine Learning and enterprise data platforms, you'll help organisations move from AI strategy and proof-of-concept through to scalable production adoption. You'll work closely with senior stakeholders, technical teams and delivery specialists to define AI architectures, establish best practices and shape how enterprise AI is built and deployed.
This is not a role focused purely on governance or architecture documentation. You'll remain close to the technology, influencing design decisions, guiding delivery teams and helping build solutions that create genuine business impact.
What You'll Be Doing
- You'll lead the architecture and delivery of enterprise AI solutions across the full lifecycle from discovery and strategy through to implementation and scale.
- Your responsibilities will include:
- Designing enterprise-scale Generative AI, Agentic AI and Machine Learning architectures
- Creating AI solutions using Microsoft Foundry / Azure AI Foundry and Copilot Studio (essential)
- Defining AI platforms, frameworks and reference architectures for large organisations
- Designing intelligent agent solutions, AI assistants and LLM-powered applications
- Developing secure and governed AI approaches aligned with Responsible AI principles
- Advising senior stakeholders on AI strategy, technology choices and investment decisions
- Supporting client engagements from early discovery through production deployment
- Creating reusable AI accelerators, patterns and delivery frameworks
- Providing technical leadership and guidance to engineering and delivery teams
- Supporting the continued growth and maturity of the AI consulting practice
Technology Environment
You'll work across a modern Microsoft-focused AI ecosystem including:
- Microsoft Foundry / Azure AI Foundry (mandatory experience)
- Microsoft Copilot Studio (mandatory experience)
- Azure AI Services
- Azure OpenAI Service
- Microsoft Agent Framework
- Semantic Kernel
- Power Platform
- Enterprise Data Platforms
- Azure Machine Learning
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLMs)
- Agentic AI architectures
- LangChain / LangGraph
- MLOps & LLMOps
- Cloud-native architectures
- Data governance and security frameworks
What We're Looking For
You'll likely be operating as an AI Architect, Lead AI Consultant, Principal AI Engineer, Principal Data Scientist or similar senior AI leadership role. You'll bring:
- Proven experience designing and delivering enterprise AI solutions in production environments
- Strong hands-on experience with Microsoft / Azure AI Foundry and Copilot Studio (essential)
- Deep understanding of Generative AI, LLM architectures, RAG and AI agents
- Experience building AI solutions beyond proof-of-concept into scalable production services
- Strong Azure and Microsoft ecosystem expertise
- Experience with AI governance, security, data privacy and Responsible AI principles
- Understanding of modern data platforms and AI-ready data architectures
- Experience working with senior technical and business stakeholders
- Strong consulting skills with the ability to translate complex AI concepts into business outcomes
- The ability to provide technical leadership while remaining close to delivery
Why This Opportunity Stands Out
AI is not an experiment here it is a strategic investment area with executive sponsorship, significant client demand and a growing pipeline of enterprise transformation programmes. You'll have the opportunity to:
- Work on complex AI challenges at enterprise scale
- Design solutions using the latest Microsoft AI technologies
- Influence AI adoption across major organisations
- Work alongside leading specialists across AI, data and cloud
- Shape reusable AI frameworks and best practices
- Continue developing your expertise through certifications, innovation and training
The AI market is crowded with organisations experimenting, this opportunity is with a business that's already delivering. If you're ready to architect AI solutions that operate at enterprise scale and shape the next generation of intelligent systems, we'd love to hear from you.
AI Architect in Woking employer: Talent Locker
Talent Locker is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong focus on employee growth, you will have access to cutting-edge technologies and collaborative teams that foster creativity and professional development. The competitive salary, performance bonuses, and outstanding benefits make it a rewarding place to advance your career in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Architect in Woking
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Talent Locker or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Talent Locker.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Talent Locker.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Talent Locker that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Architect in Woking
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Talent Locker.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Talent Locker and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Talent Locker
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Talent Locker uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
