Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of cutting-edge AI and data solutions for enterprise clients.
- Company: Join Salesforce, a leader in AI, Data, and CRM innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape the future of customer experiences with groundbreaking technology and impactful solutions.
- Qualifications: Experience in AI, data architecture, and strong collaboration skills required.
- Other info: Be part of a dynamic team within a global organisation, driving real business value.
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.
Lead AI & Data Architect for Enterprise Agentforce Solutions employer: MuleSoft
Contact Detail:
MuleSoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI & Data Architect for Enterprise Agentforce Solutions
✨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
Prepare for those interviews by practising common questions and scenarios related to AI and data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable and confident.
✨Tip Number 3
Showcase your skills through projects or demos. Create a portfolio that highlights your experience with AI and data solutions. We love seeing hands-on work that demonstrates your expertise!
✨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’re always looking for passionate individuals who want to make an impact in the AI and data space.
We think you need these skills to ace Lead AI & Data Architect for Enterprise Agentforce Solutions
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI & Data Architect role. Highlight your experience with AI, data architecture, and any relevant projects that align with what we do at StudySmarter. This shows us you’re genuinely interested in the position!
Showcase Your Technical Skills: Don’t hold back on showcasing your technical expertise! We want to see your hands-on experience with data engineering, AI solutions, and platform architecture. Use specific examples to demonstrate how you've tackled similar challenges in the past.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for AI and data shines through!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get a feel for our culture and values while you’re at it!
How to prepare for a job interview at MuleSoft
✨Know Your Stuff
Make sure you’re well-versed in AI, data architecture, and the specifics of the Agentforce platform. Brush up on your knowledge of Salesforce D360 and how it integrates with external frameworks. Being able to discuss these topics confidently will show that you're not just a candidate, but a potential leader in the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've designed or implemented data solutions. Think about challenges you've faced and how you overcame them, especially in relation to AI and data integration. This will demonstrate your hands-on experience and ability to think critically under pressure.
✨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 examples of how you’ve worked with cross-functional teams to deliver successful projects. Highlighting your teamwork skills will show that you can thrive in a dynamic environment.
✨Be Curious and Engaging
Express your passion for AI and data by asking insightful questions during the interview. Show that you’re eager to learn and grow within the company. This not only reflects your curiosity but also your commitment to contributing to the team’s success and staying ahead of industry trends.