At a Glance
- Tasks: Design and implement cutting-edge AI and data solutions for Salesforce customers.
- Company: Salesforce, a leader in AI, Data, and CRM innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a startup culture within a global organisation with endless learning opportunities.
- Why this job: Join a dynamic team shaping the future of customer experiences with AI.
- Qualifications: Experience in data architecture and a passion for AI technologies.
The predicted salary is between 80000 - 100000 £ per year.
We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. Agentforce is Salesforce's newest innovation—a next‑generation platform that combines Data + AI + CRM + Trust to transform customer experiences. Our AI and Data Architect team is a startup within a global organization, dedicated to helping Salesforce customers and prospects design and implement cutting‑edge solutions that deliver real business value.
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, CxOs 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 360, 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, technical effectiveness and latest innovation trends.
- 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: MuleSoft
Salesforce is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI and Data Architect team. Located at the forefront of technology, employees benefit from extensive growth opportunities, hands-on experience with cutting-edge solutions, and a commitment to work-life balance, all while contributing to transformative projects that redefine customer experiences. Join us to be part of a forward-thinking organisation that values your expertise and encourages continuous learning in a supportive environment.
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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to AI and data architecture. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI and Data Architect roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 Principal Data and AI Architect in London
Some tips for your application 🫡
Show Your Passion for AI and Data:When you're 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 how that can benefit our team at StudySmarter.
Tailor Your Application:Make sure to customise your application to highlight your experience with data architectures and AI solutions. We love seeing how your skills align with the role of Principal Data and AI Architect, so don’t hold back!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences are easy to spot. This helps us understand your fit for the role quickly!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at MuleSoft
✨Know Your Stuff
Make sure you have a solid understanding of AI, data architecture, and the Salesforce ecosystem. Brush up on Agentforce and its capabilities, as well as any relevant technologies like hyperscalers and data lakes. Being able to discuss these topics confidently will show that you're serious about the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or implemented data and AI solutions. Think about challenges you've faced and how you overcame them. This will demonstrate your hands-on experience and ability to think critically, which is crucial for this role.
✨Collaborate and Communicate
Since you'll be working closely with various teams, practice articulating your ideas clearly and concisely. Be ready to explain complex concepts in simple terms, especially when discussing integration strategies or generative AI. Good communication can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI and data, as well as the challenges they face. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it opens up a dialogue that can make you more memorable.
