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- Tasks: Design and operationalise enterprise-grade data and AI architectures with cutting-edge technologies.
- Company: Join a forward-thinking tech company at the forefront of AI and data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be a key player in shaping innovative AI solutions that drive real business impact.
- Qualifications: Experience in data engineering and a passion for AI technologies.
The predicted salary is between 80000 - 100000 ÂŁ 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 employer: B Capital
Contact Detail:
B Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data and AI Architect
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. You never know who might be looking for someone with your skills!
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your expertise in data and AI architecture. Share it on platforms like GitHub or your personal website to catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and AI solutions. Use mock interviews with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure to submit your application directly for the best chance at landing that dream role.
We think you need these skills to ace Principal Data and AI Architect
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.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully designed and implemented data and AI solutions. Be ready to share how you approached challenges, collaborated with teams, and delivered results. This will help demonstrate your hands-on experience and problem-solving skills, which are crucial for this role.
✨Show Your Curiosity
Since the role requires a natural curiosity about AI and data, be prepared to discuss recent trends or innovations in the field. Share your thoughts on emerging technologies and how they could impact the industry. This will highlight your passion and commitment to staying ahead in the tech landscape.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers by asking insightful questions about their current projects or challenges. This shows that you’re genuinely interested in the role and the company, and it gives you a chance to showcase your knowledge while also learning more about how you can contribute.