At a Glance
- Tasks: Lead AI architecture design and collaborate on innovative solutions for customer success.
- Company: Salesforce, the #1 AI CRM, where innovation meets action.
- Benefits: Limitless potential with competitive benefits and resources for work-life balance.
- Other info: Inclusive workplace with excellent career growth opportunities.
- Why this job: Join a team of Trailblazers driving AI innovation and making a real impact.
- Qualifications: 7+ years in AI architecture, Salesforce expertise, and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
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.
Overview of the Role
- 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.
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 (< 2 weeks) with AEs demonstrating integration between Agentforce and external agents or services.
- 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.
Required Qualifications
- 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 Qualifications
- 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.
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.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
If you would like to apply under the UK Disability Confident Scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We believe in equality for all and strive to create a workplace that's inclusive and free from discrimination. Recruiting, hiring, and promotion decisions are fair and based on merit. The same applies to compensation, benefits, promotion, training, and other employment matters. We are a recognized Disability Confident member under the UK Government Disability Confident employer scheme.
Principal AI Architect employer: MOBOLISE
Salesforce is an exceptional employer that champions innovation and collaboration, particularly for the role of Principal AI Architect. With a strong focus on employee growth, our culture encourages continuous learning and exploration of cutting-edge technologies, while our comprehensive benefits ensure a balanced work-life experience. Located in a dynamic environment, Salesforce empowers its employees to make a meaningful impact through AI, fostering a community where ambition meets action.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Architect
✨Tip Number 1
Network like a pro! Reach out to current employees at Salesforce or in the AI field on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for those interviews by practising common questions related to AI and data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨Tip Number 3
Show off your skills with a portfolio! Create a few hands-on demos or prototypes that highlight your experience with Agentforce and external integrations. This will not only impress interviewers but also demonstrate your practical knowledge.
✨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, it shows you’re serious about joining the Salesforce team.
We think you need these skills to ace Principal AI Architect
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 Passion:Let your enthusiasm for AI and innovation shine through in your application. Share examples of projects or experiences that demonstrate your curiosity and commitment to exploring new technologies. We love seeing candidates who are genuinely excited about what they do!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make your achievements stand out. We appreciate straightforward communication, so make it easy for us to see why you're a great fit!
Apply Through Our Website:Don't forget to submit your application through our official website! This ensures that we receive all your details correctly and helps us keep track of your application. We can't wait to hear from you!
How to prepare for a job interview at MOBOLISE
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and data technologies. Familiarise yourself with concepts like prompt engineering, agent interoperability, and the latest trends in generative AI. Being able to discuss these topics confidently will show that you're not just a candidate, but a thought leader in the field.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of your hands-on experience with Salesforce Agentforce and other relevant platforms. Think about projects where you've designed or delivered data architectures, and be ready to explain your role and the impact of your work. This will demonstrate your practical skills and how they align with the job requirements.
✨Collaborate Like a Pro
Since the role involves working closely with AEs and SEs, be prepared to discuss your collaboration skills. Share examples of how you've successfully worked in teams to build prototypes or lead workshops. Highlighting your ability to communicate complex ideas clearly will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of data integration, cloud platforms, and programming languages. Brush up on your knowledge of tools like Snowflake, Databricks, and APIs. Practising answers to common technical scenarios can help you feel more confident during the interview.