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For Companies At a Glance
- 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 £ 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 City of London employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead/ Architect in City of 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 lookout for opportunities. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your past AI projects, especially those involving GenAI and LLMs. This will give you an edge when discussing your hands-on experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI architectures and model integration. Be ready to discuss how you've tackled challenges in previous roles and how you can bring value to the team.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your strategic thinking and hands-on execution skills in AI.
We think you need these skills to ace AI Lead/ Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific 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 led or contributed to.
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 strategic thinking and hands-on execution can drive our initiatives forward.
Showcase Your Collaboration Skills: Since this role involves working closely with Product and Engineering teams, emphasise your experience in cross-functional collaboration. Give examples of how you've successfully partnered with different teams to deliver AI-driven solutions.
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 your enthusiasm for joining our team!
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 knowledgeable but also passionate about the field.
✨Showcase Your Leadership Skills
Since this is a hands-on leadership role, prepare examples of how you've led teams in the past. Talk about your experience in guiding cross-functional teams and how you’ve influenced stakeholders. Highlight your ability to balance strategic oversight with practical execution.
✨Be Ready to Solve Problems
Expect to face some technical challenges during the interview. Prepare to walk through your thought process on designing AI-driven solutions or integrating models. This will demonstrate your problem-solving skills and your hands-on approach to solution design.
✨Communicate Clearly
Strong communication is key, especially when translating complex AI concepts into business value. Practice explaining your ideas clearly and concisely. This will help you connect with the interviewers and show that you can effectively collaborate with Product and Engineering teams.