At a Glance
- Tasks: Design and implement cutting-edge AI and data architectures for innovative customer solutions.
- Company: Join Salesforce, a leader in AI + Data + CRM, transforming business experiences.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with endless learning opportunities and career advancement.
- Why this job: Be at the forefront of AI innovation and make a real impact on businesses worldwide.
- Qualifications: 7+ years in AI architecture, strong Salesforce knowledge, and excellent communication skills.
The predicted salary is between 90000 - 120000 € 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 Pre‐Sales Workshops - Facilitate whiteboarding, deep‐dive sessions, and quick enablement for customers and internal teams.
- Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies.
- Support Early Adoption - Occasionally assist in proof‐of‐value engagements post‐sale by tuning agents and guiding customers toward self‐sufficient enablement.
- Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real‐time vs. batch patterns, data graph design, and activation strategies within D360.
- Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently.
Requirements:
- Technical Pre‐Sales/Consulting - 7+ years of hands‐on experience designing and delivering data, analytics, and AI architectures in enterprise environments.
- Salesforce Expertise - Hands‐on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services.
- External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability.
- Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands‐on prototype development.
- AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences.
- Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).
- Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter.
- Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions.
- Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting‐edge technologies.
Preferred Requirements:
- Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A).
- Governance & Observability - Familiarity with prompt governance, observability, monitoring frameworks, responsible AI and compliance best practices.
- Cross‐Platform Background - Background in cross‐platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows).
- Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services.
- Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker.
- Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field.
Principal AI Architect in London employer: B Capital
Salesforce is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the AI and Data Architect team. Located in a vibrant tech hub, employees benefit from extensive growth opportunities, access to cutting-edge technologies, and a commitment to continuous learning, all while contributing to transformative solutions that redefine customer experiences. With a focus on core values and a supportive environment, Salesforce empowers its team members to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI and data space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio of projects that highlight your expertise in AI architectures and data solutions. Use platforms like GitHub to showcase your work, and don’t forget to include any hands-on demos or prototypes you've built.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI and data architect roles, and practice your responses. Be ready to discuss your experience with Salesforce, D360, and how you’ve tackled complex integration challenges in the past.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Tailor your application to highlight how your skills align with our mission and the role of Principal AI Architect.
We think you need these skills to ace Principal AI Architect in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal AI Architect role. Highlight your experience with AI, data architectures, and Salesforce specifically. We want to see how your skills align with what we're looking for!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with programming languages, data platforms, and any relevant projects. We love seeing real examples of your work that demonstrate your capabilities.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at B Capital
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of AI and data architectures, especially those related to Salesforce D360 and Agentforce. Brush up on your knowledge of programming languages like Python and JavaScript, as well as cloud data platforms like Snowflake and Databricks. Being able to discuss these technologies confidently will impress your interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented solutions in complex enterprise environments. Think about challenges you've faced and how you overcame them, particularly in areas like prompt engineering and agent lifecycle management. This will demonstrate your hands-on experience and ability to deliver real business value.
✨Communicate Clearly and Effectively
Strong communication skills are crucial for this role. Practice explaining complex concepts in simple terms, as you’ll need to guide stakeholders through technical discussions. Consider doing mock interviews with friends or colleagues to refine your presentation skills and ensure you can convey your ideas clearly.
✨Stay Curious and Up-to-Date
The field of AI and data is constantly evolving, so show your passion for continuous learning. Be prepared to discuss recent trends and innovations in AI, and how they could impact the industry. This not only shows your enthusiasm but also your commitment to staying ahead in your field.
