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- 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.
- 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.
- Other info: Collaborative environment with a focus on innovation and real business impact.
The predicted salary is between 80000 - 100000 ÂŁ 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 employer: MuleSoft
Contact Detail:
MuleSoft 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! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or demo showcasing your work with AI and data solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and data architecture. We want you to feel confident and ready to impress!
✨Tip Number 4
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 keen to join us directly.
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 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 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 data engineering, platform architecture, and applied AI. We love seeing how your skills match what we're looking for, so don’t hold back!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Use bullet points where possible to make your key achievements stand out. Remember, we’re looking for a Principal Data and AI Architect, so show us you can communicate effectively!
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. Plus, it gives you a chance to explore more about our culture and values while you’re at it!
How to prepare for a job interview at MuleSoft
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest AI and data technologies, especially those relevant to Salesforce and Agentforce. Brush up on your knowledge of data engineering, platform architecture, and generative AI. Being able to discuss these topics confidently will show that you're not just familiar with the tools, but that you can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or implemented data architectures or AI solutions. Think about challenges you faced and how you overcame them. This will demonstrate your hands-on experience and ability to think critically under pressure, which is crucial for a role that involves guiding CxOs and Enterprise Architects.
✨Collaborate and Communicate
Since this role involves working closely with Account Executives and Product teams, practice articulating your ideas clearly and concisely. Be ready to explain complex concepts in a way that’s easy to understand. Good communication skills will help you build rapport and show that you can work effectively in a team environment.
✨Prepare Thought Leadership Content
Think about how you can contribute to thought leadership within the company. Prepare some ideas for demo templates, whitepapers, or enablement sessions that could benefit the team. This shows initiative and a forward-thinking mindset, which are key traits for a Principal Data and AI Architect.