At a Glance
- Tasks: Lead innovative AI solutions and collaborate on exciting pre-sales projects.
- Company: Join Salesforce, the #1 AI CRM, where innovation meets impact.
- Benefits: Enjoy competitive salary, flexible work options, and personal development opportunities.
- Other info: Be part of a diverse team that values curiosity and continuous learning.
- Why this job: Shape the future of AI while making a real difference in businesses.
- Qualifications: 7+ years in technical pre-sales with strong AI and data expertise.
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.
Job Category: Sales
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.
Senior AI Solutions Architect, Pre-Sales & Integration employer: MOBOLISE
Salesforce is an exceptional employer that champions innovation and collaboration, making it a prime choice for those looking to thrive in the AI landscape. With a strong commitment to employee growth, a vibrant work culture, and comprehensive benefits, Salesforce empowers its team members to explore new technologies while driving meaningful business impact. Located in a dynamic environment, employees enjoy the unique advantage of working with cutting-edge AI solutions and contributing to a mission that prioritises customer success and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Solutions Architect, Pre-Sales & Integration
✨Tip Number 1
Network like a pro! Reach out to current employees at Salesforce or in the AI space on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of hands-on prototypes or demos that highlight your experience with AI solutions. This will not only impress during interviews but also demonstrate your practical knowledge.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and data integration. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Salesforce team.
We think you need these skills to ace Senior AI Solutions Architect, Pre-Sales & Integration
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Solutions 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 detailing your technical expertise! Mention your hands-on experience with programming languages like Python or JavaScript, and any relevant projects you've worked on. This is your chance to shine, so let us know what you can bring to the table.
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 through your qualifications and experiences. 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 and our company culture there!
How to prepare for a job interview at MOBOLISE
✨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 Agentforce. Brush up on your knowledge of external agent ecosystems and interoperability, as these will be key discussion points during your interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed solutions that delivered real business impact. Think about how you’ve tackled challenges in prompt engineering or agent lifecycle management, and be ready to share these stories with confidence.
✨Demonstrate Your Communication Prowess
Since this role involves explaining complex ideas to diverse audiences, practice articulating your thoughts clearly. You might want to prepare a mini-presentation on a relevant topic, showcasing your ability to simplify intricate concepts for stakeholders.
✨Be Curious and Engaged
Show your passion for AI and continuous learning by discussing recent trends or technologies you’ve explored. This not only highlights your enthusiasm but also aligns with the company’s values of innovation and curiosity, making you a more attractive candidate.