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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 £ 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 employer: alphayotta
Contact Detail:
alphayotta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Lead/ Architect
✨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. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving GenAI and LLMs. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've successfully implemented AI solutions in the past and how you can contribute to their 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 hands-on experience and strategic thinking in AI.
We think you need these skills to ace AI Lead/ Architect
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 familiar with the theory but have practical experience too.
✨Showcase Your Leadership Skills
Since this is a hands-on leadership role, prepare examples of how you've led teams in the past. Think about times when you guided teams through complex AI projects or helped them adopt new technologies. 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 be ready to talk about your collaborative experiences. Share how you've partnered with different teams to identify high-impact AI use cases and how you ensured alignment on data readiness and governance.
✨Communicate Clearly
Strong communication skills are key for influencing senior stakeholders. Practice explaining complex AI concepts in simple terms. You might even want to prepare a few scenarios where you successfully communicated technical ideas to non-technical audiences, showcasing your ability to translate AI into business value.