Datacloud and Agentforce Solutions Architect

Job Category

Sales

Job Details

**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.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place Agentforce is the future of AI, and you are the future of Salesforce.

**Datacloud and Agentforce Solutions Architect**

Together with our employees, customers, and partners, we’re working to improve the state of the world. Our commitment to a values-driven culture—rooted in Trust, Customer Success, Innovation, and Equality—is why we’re consistently recognized among the world’s leading employers.

We’re honored to be named one of the Best Places to Work in 2023 by Glassdoor’s Employees’ Choice Awards and, specifically in Switzerland, one of the Best Large Workplaces by Great Place to Work in 2024.

This recognition reflects the supportive and innovative environment we foster in the Swiss market, where employees benefit from competitive compensation and benefits, a strong focus on wellbeing and career growth, and our pioneering 1-1-1 philanthropic model.

Join us in Switzerland to shape the future of AI and Data Solutions—and be part of a company that uses business as a platform for change.

The Datacloud and Agentforce Solutions Architect is a key member of the pre-sales organisation. The focus of this role is to cover complex technical topics within the sales cycle, specifically for our Data Cloud and Agentforce solutions. You will be instrumental in helping our customers understand how these next-generation Salesforce capabilities fit and integrate into their existing architecture landscape.

A critical component of this role is acting as a hands-on technical expert who designs, develops, and delivers Proof of Concepts (POCs) and hackathons for Data Cloud and Agentforce solutions. This involves transforming architectural visions into tangible, working solutions that demonstrate the power of AI-driven, unified data to our customers. Topics will include AI/Machine Learning architecture, data unification, large-scale data architecture, data modeling, solution performance, and system integration patterns.

**Your Impact - Responsibilities**:

- Support the sales cycle, covering the technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce.
- Design, build, and present hands-on Proof of Concepts (POCs) and demonstrations for Data Cloud and Agentforce, showcasing their power and viability to technical stakeholders.
- Explain the technical and business benefits of the Salesforce Customer 360 platform, with a strong focus on Data Cloud and Agentforce, to IT and technical stakeholders.
- Understand, assess, and define technical customer requirements, focusing on AI, data management, and operational data utilization.
- Advise CIO/CTO/CXO-level contacts and their IT teams on adopting cloud architectures, particularly how to leverage unified customer data and generative AI effectively.
- Answer deep technical questions related to the capabilities and integration of Salesforce Data Cloud, AI, and Agentforce solutions.
- Establish close relationships with customer technical stakeholders and act as a trusted advisor on data and AI strategy.
- Respond to RFPs, focusing on the technical components of data, AI, and integration.
- Coach and mentor fellow pre-sales colleagues on the technical aspects of Data Cloud and Agentforce.
- Be a thought leader on specific technology topics like Generative AI, Data Strategy, and Hyper-Automation.
- Drive innovation projects with impact (POCs, MVPs).
- Maintain awareness of technical best practices related to data governance, security, and compliance.

**Minimum Qualifications**:

- Proven track record of running hands-on, successful technical Proof of Concepts (POCs) for complex AI and/or Data solutions.
- Relevant background and deep technical expertise in AI, Machine Learning, and/or Advanced Data Solutions (e.g., CDP, Data Warehousing, Data Lake, etc.).
- Fluent English and German or French (spoken and written).
- Experience in pre-sales, e.g., solution engineering or technical architecture.
- Deep knowledge of data architecture principles, including data modeling, ETL/ELT, data governance, and data quality.
- Multi-year experience in software, system, or enterprise architecture disciplines.
- Strong understanding of data integration patterns, data synchronization, and data volume considerations in a cloud environment.
- Good understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, and multi-tiered infrastructure.