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- Tasks: Lead AI initiatives and design practical AI-driven solutions across the organisation.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and real-world application of AI.
- Why this job: Shape the future of AI while collaborating with talented teams on impactful projects.
- Qualifications: 10+ years in software or data engineering, with 5+ years in AI/ML systems.
The predicted salary is between 90000 - 120000 £ per year.
We are seeking a highly experienced AI Lead / Architect to support evolving AI initiatives. The role will work closely with Product, Engineering, and Data teams to define, shape, and deliver practical AI-driven solutions across the organization.
- Contribute directly to solution design and implementation.
- Define solution architectures for AI-driven capabilities across data and applications.
- Guide teams on best practices for leveraging AI/GenAI tools within existing frameworks.
- 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.
Requirements:
- 10–15+ years of experience in software engineering, data engineering, or related fields.
- 5+ years of experience working with AI/ML systems, including recent exposure to relevant technologies.
- Proven experience designing and implementing AI-driven solutions in enterprise environments.
- 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.
- Able to translate complex AI concepts into practical business value.
Lead Architect AI/ML employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Architect AI/ML
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the hunt for a Lead Architect role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies of your previous AI-driven solutions. When you get the chance to chat with potential employers, share how you've defined solution architectures and guided teams on best practices.
✨Tip Number 3
Stay updated on industry trends! Follow the latest developments in AI/GenAI tools and platforms like Azure AI and Databricks. This knowledge will not only impress interviewers but also help you translate complex concepts into practical business value.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. By applying directly, you’ll ensure your application gets the attention it deserves, and you can showcase your passion for AI initiatives right from the start.
We think you need these skills to ace Lead Architect AI/ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Lead Architect AI/ML role. Highlight your experience in AI/ML systems and any relevant projects you've worked on, especially those involving data architecture and solution design.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for AI and how your background in software engineering and data engineering has prepared you to lead AI initiatives. Don't forget to mention any experience with tools like Azure AI or Databricks!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex AI challenges in the past. We want to see how you’ve translated AI concepts into practical solutions that deliver business value, so be specific about your contributions and outcomes.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at alphayotta
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI/ML trends and tools, especially those mentioned in the job description like Azure AI and Databricks. Brush up on your experience with designing and implementing AI-driven solutions, as you'll want to showcase how your past projects align with their needs.
✨Showcase Collaboration Skills
Since the role involves working closely with Product, Engineering, and Data teams, be ready to discuss examples of successful collaborations. Highlight how you’ve guided teams on best practices and ensured alignment on data readiness and governance in previous roles.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about solution architectures and data pipelines. Prepare to explain complex AI concepts in simple terms, demonstrating your ability to translate technical jargon into practical business value for stakeholders.
✨Demonstrate a Structured Approach
They’re looking for someone who can help organisations adopt AI in a structured way. Be prepared to discuss frameworks you've established for evaluating and deploying AI use cases, and how you’ve contributed to creating scalable, reusable AI patterns in your previous positions.