At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI architectures for real-world solutions.
- Company: Join UBDS Group, a leader in modern cloud, data, and AI solutions.
- Benefits: Enjoy competitive salary, private medical cover, and generous holiday allowance.
- Other info: Dynamic environment with opportunities for personal development and career growth.
- Why this job: Shape the future of AI while mentoring the next generation of engineers.
- Qualifications: Strong engineering background with experience in secure AI platforms and leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production‑ready platforms that solve real‑world problems and deliver measurable outcomes. We’re looking for a Principal AI Platform Engineer who combines deep AI architecture expertise with strong engineering capability and technical leadership. This is a senior hands‑on role for someone who can shape AI platforms and production AI solutions, guide delivery teams and help expand AI engineering as a core capability within UBDS.
As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI architectures across complex transformation programmes.
What You’ll Do
- Lead the design and implementation of AI architectures
- Help clients move AI solutions from experimentation into secure production delivery for large‑scale user bases
- Define platform standards covering governance, observability, security, orchestration and operational support
- Support technical discovery, bids and client architecture discussions
- Work closely with delivery, account and capability teams to shape AI opportunities
- Mentor and upskill engineers moving into AI engineering delivery
- Build reusable engineering patterns, accelerators and reference architectures
- Support internal AI enablement and automation initiatives across UBDS
What We’re Looking For
Essential Experience
- Strong hands‑on engineering background with experience delivering secure AI platforms, AI‑enabled applications or machine learning solutions into production environments
- Deep understanding of modern AI architecture patterns and real‑world operational delivery, including MLOps/Evals
- Strong Python engineering capability and experience working across cloud‑native engineering environments
- Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems
- Experience acting as a senior technical lead, principal engineer or design authority
- Comfortable working directly with senior client stakeholders
- Strong mentoring and coaching capability
- Experience with some of the following technologies or ecosystems:
- Amazon Bedrock and SageMaker
- Claude / Anthropic
- Azure AI Foundry or Azure OpenAI
- Databricks
- Vector databases and RAG architectures
- Agentic AI orchestration frameworks and MCP servers
- Model and data lifecycle management
Desirable Experience
- Experience working within public sector or regulated environments
- Experience with secure government delivery environments
- Experience contributing to bids, pre‑sales or technical strategy
- Knowledge of responsible AI and AI governance frameworks
- Experience scaling engineering capability or building new technical practices
We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real‑world production AI delivery experience, architectural depth and the ability to adapt across evolving AI ecosystems.
Employee Benefits
- Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or methodologies. We want you to grow with us and to help us achieve more
- Private medical cover for you and your spouse/partner, offered via Vitality
- Discretionary bonus based on a blend of personal and company performance
- Holiday – You will receive 25 Days holiday, plus 1 day for Birthday and 1 day for your work anniversary in addition to UK bank holidays
- Electric Vehicle leasing with salary sacrifice
- Contributed Pension Scheme
- Death in service cover
Equal Opportunities
We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
Senior AI Platform Architect & Tech Lead in London employer: UBDS Group
UBDS Group is an exceptional employer that fosters a culture of innovation and collaboration, particularly for those in the Senior AI Platform Architect & Tech Lead role. With a strong commitment to employee growth through extensive training opportunities and a supportive environment, we empower our team to excel in delivering cutting-edge AI solutions. Located in a dynamic sector, we offer competitive benefits including private medical cover, a generous holiday allowance, and a focus on work-life balance, making UBDS a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Platform Architect & Tech Lead in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and solutions. This is your chance to demonstrate your hands-on experience and architectural depth, making it easier for hiring managers to see what you bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI architecture and engineering. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you shine during those crucial conversations.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight your relevant experience and how you can contribute to our mission of delivering top-notch AI solutions.
We think you need these skills to ace Senior AI Platform Architect & Tech Lead in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI platforms and engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Since this is a senior role, it’s crucial to demonstrate your hands-on engineering background. Include specific examples of AI architectures you've designed or implemented, especially in production environments. We love seeing real-world applications!
Highlight Leadership Experience:As a Principal AI Platform Engineer, you’ll be guiding teams and mentoring others. Share instances where you’ve taken the lead on projects or helped upskill colleagues. We’re looking for someone who can inspire and elevate our engineering capabilities.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at UBDS Group
✨Know Your AI Architecture Inside Out
Make sure you’re well-versed in modern AI architecture patterns and can discuss them confidently. Brush up on MLOps, security protocols, and how to transition AI solutions from experimentation to production. Being able to articulate your experience with these concepts will show that you’re the right fit for the role.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on engineering work, especially in delivering secure AI platforms or machine learning solutions. Highlight any projects where you’ve integrated AI capabilities into larger ecosystems, as this will demonstrate your practical knowledge and ability to lead complex transformations.
✨Engage with Technical Discovery
Be ready to discuss how you approach technical discovery and client architecture discussions. Think about how you can support bids and shape AI opportunities. Showing that you can engage with stakeholders and guide delivery teams will set you apart as a strong candidate.
✨Mentorship Matters
Since mentoring is a key part of the role, prepare to talk about your experience in coaching and upskilling engineers. Share examples of how you’ve helped others grow in their roles, particularly in AI engineering. This will highlight your leadership skills and commitment to building a strong team.
