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 collaboration.
- Why this job: Be a key player in shaping the future of AI and data integration.
- Qualifications: Experience in data engineering and AI architecture with strong problem-solving 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 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 values diverse perspectives. Located in a vibrant tech hub, we offer competitive benefits and the chance to work on cutting-edge projects that make a real impact in the field of AI and data architecture.
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. 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 projects that highlight your expertise in data engineering and AI solutions. We recommend using platforms like GitHub to showcase your work, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions related to data architecture and AI, and practice your responses. We suggest doing mock interviews with friends or using online resources to get comfortable discussing your experience and how it aligns with the job.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Principal Data and AI Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Data and AI Architect role. Highlight your experience with data engineering, AI solutions, and any relevant projects that showcase your skills in designing scalable architectures.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data architecture. Mention specific experiences that align with our job description and how you can add value to our team.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Include any relevant tools, platforms, or methodologies you've worked with, especially those related to Salesforce D360, Agentforce, and generative AI.
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 architectures. Brush up on Salesforce D360 and Agentforce specifics, and be ready to discuss how you would integrate these into complex ecosystems.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would analyse customer needs and recommend solutions. Practise articulating your thought process clearly, as this will show your ability to lead pre-sales technical design effectively.
✨Bring Examples of Your Work
Have a few case studies or examples of past projects ready to share. Focus on your experience with generative AI, prompt engineering, and cross-platform integrations. This will help illustrate your hands-on experience and thought leadership in the field.
✨Collaborate and Communicate
Since this role involves working closely with Account Executives and Product teams, be prepared to discuss how you’ve successfully collaborated in the past. Highlight your communication skills and how you’ve facilitated technical enablement within teams to drive project success.
