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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.
Responsibilities include:
- Contributing directly to solution design and implementation of AI/GenAI use cases.
- Defining solution architectures for AI-driven capabilities across data and applications.
- Guiding teams on best practices for leveraging AI/GenAI tools within existing frameworks.
- Supporting the development of scalable, reusable AI patterns and accelerators.
- Collaborating with data teams to ensure strong alignment on data readiness, governance, and model performance.
- Helping establish practical frameworks for evaluating and deploying AI use cases.
Qualifications:
- 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, including data pipelines and data architecture.
- 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 in London employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Architect AI/ML in London
✨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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML systems and solution architecture. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
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 our team. Let us know how you can contribute to our evolving AI initiatives.
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, highlight any past experiences where you’ve successfully collaborated with product, engineering, or data teams. We love seeing teamwork in action!
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’s super easy!
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 technologies. Brush up on your experience with tools like Azure AI and Databricks, and be ready to discuss how you've implemented AI-driven solutions in past roles.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so highlight your experience in cross-functional collaboration. Prepare examples of how you've successfully partnered with product, engineering, and data teams to deliver impactful AI solutions.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about solution architectures and data pipelines. Be ready to explain your design choices and how they align with best practices in AI/GenAI, as well as how you ensure data readiness and governance.
✨Translate Complexity into Simplicity
One of the key skills for this position is the ability to simplify complex AI concepts. Think of ways to articulate how your work has translated into practical business value, making it relatable for non-technical stakeholders.