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- Tasks: Lead AI initiatives and design practical AI-driven solutions with cross-functional teams.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture that values innovation and teamwork.
- Why this job: Shape the future of AI while making a tangible impact in a dynamic environment.
- Qualifications: 10+ years in software or data engineering, with strong AI/ML experience.
The predicted salary is between 80000 - 100000 ÂŁ per year.
We are seeking a highly experienced AI Lead / Architect to support evolving AI initiatives. This role will work closely with Product, Engineering, and Data teams to define, shape, and deliver practical AI-driven solutions across the organization. This is a hands-on leadership role, requiring both strategic oversight and the ability to contribute directly to solution design and implementation.
Key Responsibilities
- Partner with Product and Engineering leadership to identify and prioritize high-impact AI/GenAI use cases.
- Define solution architectures for AI-driven capabilities across data, applications, and workflows.
- Provide hands-on technical leadership (~30–40%) in areas such as prototyping, model integration, and solution validation.
- Guide teams on best practices for leveraging AI/GenAI tools within existing development workflows.
- Support the development of scalable, reusable AI patterns and accelerators.
- Collaborate with data teams to ensure strong alignment on data readiness, governance, and model performance.
- Help establish practical frameworks for evaluating and deploying AI use cases in a controlled and scalable manner.
Required Experience
- 10–15+ years of experience in software engineering, data engineering, or related technical roles.
- 5+ years of experience working with AI/ML systems, including recent exposure to GenAI/LLMs.
- Proven experience designing and implementing AI-driven solutions in enterprise environments.
- Strong understanding of:
- LLMs and GenAI ecosystems.
- Model integration and APIs (e.g., OpenAI, Azure OpenAI, etc.).
- Data pipelines and data architecture.
Preferred Qualifications
- Experience working in regulated or data-sensitive environments.
- Familiarity with tools/platforms such as Azure AI, Databricks, or similar ecosystems.
- Prior experience helping organizations adopt AI in a structured, scalable way.
- Strong communication skills and ability to influence senior stakeholders.
Key Attributes
- Pragmatic and execution-focused.
- Comfortable operating in fast-paced, evolving environments.
- Strong collaborator with a “build with the team” mindset.
- Able to translate complex AI concepts into practical business value.
AI Lead/ Architect in London employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead/ Architect in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for an AI Lead/Architect role. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past AI-driven projects and solutions. This will give you a chance to demonstrate your hands-on experience and strategic thinking, making you stand out to hiring managers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and GenAI. Be ready to discuss how you've implemented AI solutions in previous roles and how you can bring that expertise to the table at our company.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to our AI initiatives.
We think you need these skills to ace AI Lead/ Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI Lead/Architect role. Highlight your hands-on experience with AI/ML systems and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or achievements that demonstrate your expertise.
Showcase Your Technical Skills: Since this role involves hands-on technical leadership, be sure to highlight your experience with model integration, APIs, and data architecture. We love seeing practical examples of how you've implemented AI-driven solutions in past roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at alphayotta
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and GenAI, especially around LLMs and model integration. Be ready to discuss specific projects you've worked on and how they relate to the role. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this is a hands-on leadership role, be prepared to share examples of how you've led teams in the past. Talk about your approach to guiding teams on best practices and how you've contributed to solution design and implementation. Highlight your ability to balance strategic oversight with hands-on execution.
✨Collaborate Like a Pro
This role requires working closely with Product and Engineering teams, so demonstrate your collaborative spirit. Share experiences where you successfully partnered with cross-functional teams to deliver AI-driven solutions. Emphasise your communication skills and how you influence stakeholders.
✨Prepare for Technical Questions
Expect some deep dives into technical aspects like data pipelines, architecture, and AI tools. Brush up on your knowledge of platforms like Azure AI and Databricks. Being able to discuss these topics confidently will show that you're not only a strategic thinker but also technically savvy.