At a Glance
- Tasks: Design and operationalise enterprise-grade data and AI architectures for innovative platforms.
- Company: Leading tech firm at the forefront of AI and data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on innovation and career advancement.
- Why this job: Be a key player in shaping the future of AI and data integration.
- Qualifications: Experience in data engineering, AI architecture, and strong collaboration skills.
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.
Responsibilities
- 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 and facilitating deep technical enablement.
- 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: 428 Salesforce UK Limited
As a Principal Data and AI Architect, you will thrive in a dynamic work environment that champions innovation and collaboration. Our company prioritises employee growth through continuous learning opportunities and a supportive culture that encourages creativity and technical excellence. Located in a vibrant tech hub, we offer unique advantages such as access to cutting-edge resources and a network of industry leaders, making it an ideal place for professionals seeking meaningful and rewarding careers in data and AI.
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 your work, especially any hands-on prototypes or demos you've built. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for those interviews by brushing up on the latest trends in AI and data architecture. We recommend having a few case studies ready to discuss how you’ve tackled similar challenges in the past.
✨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 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Principal Data and AI Architect. Highlight your experience with data engineering, platform architecture, and AI solutions, especially in relation to Salesforce D360 and Agentforce.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've led technical design or collaborated with teams to deliver scalable solutions in the past.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills relevant to the job. Mention your experience with generative AI, prompt engineering, and any hands-on work with prototypes or demos that align with our needs.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at 428 Salesforce UK Limited
✨Know Your Tech Inside Out
As a Principal Data and AI Architect, you’ll need to demonstrate your deep understanding of data engineering and AI solutions. Brush up on Salesforce D360 and Agentforce specifics, and be ready to discuss how you would integrate these into complex enterprise ecosystems.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would analyse customer needs and recommend tailored solutions. Use examples from your past experiences where you successfully led technical designs or implemented innovative AI strategies.
✨Collaborate Like a Pro
This role involves working closely with Account Executives and Product teams. Be prepared to discuss how you’ve collaborated in the past, especially in building prototypes or demos. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
✨Stay Ahead of the Curve
Emerging AI solutions are key in this role. Show your passion for continuous learning by discussing recent trends in generative AI, prompt engineering, and agent interoperability. Bring insights on how these can shape best practices and enhance customer value.
