At a Glance
- Tasks: Design and oversee the build of AI agents that drive real business outcomes.
- Company: Fast-growing consumer brand focused on embedded AI capabilities.
- Benefits: Flexible working arrangements and potential for permanent role.
- Other info: Opportunity to work autonomously with senior stakeholders and grow your career.
- Why this job: Shape the future of AI in a dynamic environment and make a tangible impact.
- Qualifications: Experience in building AI systems and understanding of data analytics.
The predicted salary is between 60000 - 84000 £ per year.
We are partnering with a fast growing consumer brand building embedded AI capability across ecommerce, performance marketing and brand. This is a mandate to design and oversee production grade AI agents that drive measurable commercial outcomes.
The Mandate
- Design and oversee the build of three internal AI agents:
- Website Optimisation and CRO Agent
- Performance Marketing and Growth Agent
- Brand Copywriter Agent
Each agent will ingest real business data, generate prioritised recommendations or outputs, integrate into existing workflows and continuously improve based on live performance feedback.
What You Will Do
- Define end to end AI architecture across multiple use cases
- Map and integrate data sources across analytics, paid media, CRM and ecommerce systems
- Design orchestration logic and feedback loops
- Translate commercial growth objectives into functional AI specifications
- Oversee implementation to ensure scalability, governance and measurable impact
- Embed AI capability directly into operational team workflows
What We Are Looking For
- Proven experience building production grade AI systems, ideally LLM driven
- Strong understanding of data pipelines and analytics infrastructure
- Experience in ecommerce, performance marketing or consumer environments
- Ability to operate at product and commercial level, not just technical execution
- Sound judgement on build versus buy decisions
- Comfortable working autonomously with senior stakeholders
This can initially be structured as a senior fractional mandate with potential to evolve into permanent ownership of AI capability. If you have built AI systems that materially impact revenue and want to architect capability from first principles inside an ambitious business, I would welcome a confidential conversation.
Artificial Intelligence Product Architect employer: Zazu Digital Talent
Join a dynamic and innovative consumer brand that is at the forefront of embedding AI capabilities into its operations. As an employer, we offer a collaborative work culture that fosters creativity and encourages professional growth, providing you with the opportunity to lead impactful projects that drive measurable commercial outcomes. With a focus on employee development and a commitment to integrating cutting-edge technology, this role not only promises meaningful work but also the chance to shape the future of our brand in a thriving e-commerce environment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Product Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or a personal website where you can display your past projects and achievements. This is especially important for roles like AI Product Architect, where demonstrating your experience with production-grade systems can really set you apart.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI architecture and implementation. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your approach to building AI agents.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Artificial Intelligence Product Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI systems, especially in ecommerce and performance marketing. We want to see how your skills align with the specific needs of the role!
Showcase Your Achievements:Don’t just list your responsibilities; share concrete examples of how your work has driven measurable outcomes. We love seeing numbers and results that demonstrate your impact on revenue and growth.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas flow logically and are easy to understand. Avoid jargon unless it’s relevant!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Zazu Digital Talent
✨Know Your AI Inside Out
Make sure you have a solid grasp of the AI systems you've built in the past. Be ready to discuss specific projects, the architecture you designed, and how they drove measurable outcomes. This will show your depth of knowledge and experience.
✨Understand the Business Context
Familiarise yourself with the consumer brand's market and their growth objectives. Think about how your AI solutions can align with their commercial goals. This will help you translate technical specifications into business value during the interview.
✨Prepare for Technical Questions
Expect questions on data pipelines, analytics infrastructure, and orchestration logic. Brush up on these topics and be ready to explain how you would integrate various data sources to optimise performance marketing and ecommerce strategies.
✨Showcase Your Autonomy and Collaboration Skills
Highlight your ability to work independently while also engaging with senior stakeholders. Share examples of how you've successfully navigated both technical execution and product-level discussions to demonstrate your versatility.
