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- Tasks: Shape enterprise AI architecture and drive real implementation across sectors.
- Company: Fast-growing boutique consultancy with a strong trajectory and ownership opportunities.
- Benefits: Competitive salary, dynamic work environment, and the chance to lead AI initiatives.
- Other info: Opportunity to build and scale AI solutions in a fast-paced, innovative setting.
- Why this job: Make a meaningful impact by defining how organisations adopt AI securely and at scale.
- Qualifications: 6–8 years in AI or data architecture with strong cloud and stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
Shape enterprise AI architecture across GenAI, ML and data platforms. Work end-to-end from strategy through to real implementation and adoption. Opportunity to define standards, frameworks and how AI is delivered. Fast-growing consultancy with strong trajectory and real ownership.
Who We’re Looking For:
Our client is a fast-growing boutique growth consultancy working across sectors. We’re hiring an AI Architect (6–8 years’ experience) with a background in designing and delivering AI/ML or data architectures. If you can operate at the intersection of business and engineering, and want to shape how organisations adopt AI securely and at scale, this is for you.
What You’ll Do:
- Define patterns for integrating proprietary data with AI services safely.
- Establish standards for copilots, assistants and GenAI use cases (RAG, evaluation, monitoring).
- Architect secure deployments across cloud and restricted environments.
- Set MLOps / LLMOps standards (deployment, monitoring, drift, governance).
- Translate business goals into practical, phased AI roadmaps.
- Support capability build, coaching and internal practice development.
Key Skills:
- 6–8 years in AI, data or platform engineering/architecture roles.
- Strong cloud architecture (Azure, AWS or GCP) including security and IAM.
- Deep understanding of data architecture (lakehouse, pipelines, data products).
- Experience with MLOps / LLMOps and production deployment.
- Strong stakeholder management and ability to bridge business and tech.
- Comfortable operating in fast-paced, ambiguous environments.
This is a chance to shape how organisations design, build and scale AI, not just advise on it. If you’re ready to take ownership and build something meaningful, let’s talk.
Please note: At this time, our client is unable to offer visa sponsorship. Applicants must have the right to work in the UK.
AI Architect in London employer: Ascent Professional Services
Contact Detail:
Ascent Professional Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and tech space. Attend meetups, webinars, or industry events to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects in AI architecture, ML, and data platforms. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles. We want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the AI Architect role. Highlight your experience in AI, ML, and data architecture, and don’t forget to mention any relevant projects that showcase your skills in cloud architecture and stakeholder management.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about shaping AI architecture and how your background aligns with the job description. Be sure to show us your personality and enthusiasm for the role.
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just listing responsibilities. Use metrics where possible to demonstrate the impact of your work, especially in areas like secure deployments and MLOps standards.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Ascent Professional Services
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in the latest trends and technologies in AI architecture, especially around GenAI, ML, and data platforms. Brush up on your knowledge of cloud services like Azure, AWS, or GCP, as well as security protocols and IAM practices.
✨Prepare Real-World Examples
Be ready to discuss specific projects where you've designed and delivered AI/ML architectures. Highlight your experience with MLOps and LLMOps, and how you’ve successfully integrated proprietary data with AI services. Concrete examples will show your capability to bridge business and tech.
✨Understand the Business Side
Since this role requires operating at the intersection of business and engineering, prepare to talk about how you’ve translated business goals into practical AI roadmaps. Think about how you can demonstrate your stakeholder management skills and your ability to work in fast-paced environments.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI adoption and their expectations for the role. This shows your genuine interest and helps you assess if the company aligns with your career goals.