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- Tasks: Design and implement cutting-edge AI and data architectures for enterprise platforms.
- Company: Join Salesforce, the leader in AI CRM and workforce transformation.
- Benefits: Enjoy competitive salary, flexible work options, and continuous learning opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on businesses worldwide.
- Qualifications: 7+ years in data architecture with strong Salesforce expertise and programming skills.
- Other info: Dynamic team culture focused on collaboration and personal growth.
The predicted salary is between 80000 - 100000 £ per year.
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Role Description
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.
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 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, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization.
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, and monitoring frameworks.
- 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.
Unleash Your Potential
When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination.
Senior AI & Data Architect for Enterprise Platforms employer: Salesforce
Contact Detail:
Salesforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI & Data Architect for Enterprise Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or demo projects that highlight your expertise in AI and data architecture. 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 integration. The more you rehearse, the more confident you'll feel when it’s showtime!
✨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!
We think you need these skills to ace Senior AI & Data Architect for Enterprise Platforms
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI & Data Architect role. Highlight your experience with Salesforce, AI, and data architectures, and show us how your skills align with what we're looking for.
Showcase Your Passion: We love candidates who are genuinely excited about AI and data! Share any personal projects or experiences that demonstrate your curiosity and enthusiasm for these fields. Let your passion shine through!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We want to understand your experience and skills without having to decipher complex terms.
Apply Through Our Website: For the best experience, make sure to apply directly through our website. This way, you’ll ensure your application gets to the right people and you won’t miss out on any important updates from us!
How to prepare for a job interview at Salesforce
✨Know Your Tech Inside Out
As a Senior AI & Data Architect, you need to be well-versed in Salesforce D360 and Agentforce. Brush up on your knowledge of data architectures, integration strategies, and the latest AI trends. Be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to tackle complex challenges. Think of specific examples where you've designed scalable solutions or integrated external agents. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Engage with the Interviewers
Interviews are a two-way street! Ask insightful questions about the company's approach to AI and data architecture. This shows your genuine interest and helps you gauge if the company aligns with your values and career goals.
✨Communicate Clearly and Confidently
Your role will involve explaining complex concepts to various stakeholders. Practice articulating your thoughts clearly and confidently. Use visuals or diagrams if possible to illustrate your points during the interview, especially when discussing technical designs.