At a Glance
- Tasks: Design and operationalise cutting-edge data and AI architectures for enterprise clients.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to lead and innovate in a collaborative environment.
- Why this job: Be a key player in shaping the future of AI solutions and make a real impact.
- Qualifications: Experience in data engineering and a passion for AI technologies.
The predicted salary is between 80000 - 100000 € per year.
As an AI and Data Technical Architect, you will act as a senior, hands‑on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise‑grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side‑by‑side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems—including hyperscalers, data lakes, and governance frameworks.
You will:
- Lead pre‑sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks.
- Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross‑platform integrations.
- Collaborate with AEs and SEs to build hands‑on prototypes and demos using Agentforce and integrated external agents.
- Develop thought leadership content—demo templates, whitepapers, enablement sessions—focused on agent lifecycle, integration strategy, and technical effectiveness.
- Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization.
If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you!
Responsibilities:
- Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate.
- Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs.
- Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement.
- Build Hands‑On Demos & Prototypes - Co‑create quick prototypes.
Principal Data and AI Architect in London employer: B Capital
As a Principal Data and AI Architect at our innovative company, you will thrive in a dynamic work culture that champions collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages creativity and growth, all while being located in a vibrant tech hub that fosters networking and innovation. Join us to make a meaningful impact in the world of AI and data, where your expertise will be valued and your contributions recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data and AI Architect in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Principal Data and AI Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your expertise in data architecture and AI solutions. We recommend using platforms like GitHub to showcase your work, making it easier for potential employers to see what you can do.
✨Tip Number 3
Prepare for those interviews! Research common questions related to data engineering and AI architecture. We suggest practicing your responses with a friend or even in front of the mirror to boost your confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. By applying directly, you’ll have a better chance of getting noticed by our hiring team.
We think you need these skills to ace Principal Data and AI Architect in London
Some tips for your application 🫡
Show Your Passion for AI and Data:When writing your application, let your enthusiasm for AI and data shine through! We want to see how your curiosity drives you to explore new technologies and solutions. Share specific examples of projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to align with the job description. Highlight your experience with Salesforce D360, Agentforce, and any relevant integrations. We love seeing candidates who take the time to connect their skills with what we’re looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Use bullet points where possible to make your key achievements stand out. Remember, less is often more!
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 at StudySmarter!
How to prepare for a job interview at B Capital
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Salesforce D360 and Agentforce. Brush up on your knowledge of data engineering, AI architectures, and integration strategies. Being able to discuss these topics confidently will show that you're not just familiar with them, but that you can lead discussions around them.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical challenges. Think about how you’ve designed scalable solutions or integrated systems in the past. This is your chance to demonstrate your hands-on experience and how you can apply it to help customers realise the full value of their platforms.
✨Collaborate Like a Pro
Since this role involves working closely with Account Executives and Product teams, be ready to talk about your collaborative experiences. Share instances where you’ve successfully worked in cross-functional teams to deliver projects. Highlight your ability to communicate technical concepts to non-technical stakeholders, as this will be crucial in guiding customer Chief Data Officers.
✨Stay Curious and Engaged
Express your passion for AI and data during the interview. Discuss any recent trends or technologies that excite you and how they could impact the industry. This shows that you’re not just looking for a job, but that you’re genuinely interested in contributing to the field and helping others understand these emerging solutions.
