Description
Salesforce is seeking a Technical Architect , Automotive Cloud to design and manage the delivery of complex, enterprise-grade Salesforce solutions for automotive clients. The successful candidate will collaborate with stakeholders to define requirements, design scalable solutions, and lead technical delivery. Responsibilities include:
- Collaborating with automotive client stakeholders to define requirements and deliverables
- Translating complex automotive business requirements into well-architected Salesforce solutions
- Designing and integrating scalable predictive and generative AI solutions within Automotive Cloud environments
- Leading design sessions and authoring technical design documents
- Providing project oversight and championing AI-First delivery using AI tools and agentic evaluation frameworks
- Managing delivery of custom development, DMS integrations, telematics ingestion pipelines, and vehicle master data migrations
- Collaborating with customers to develop evaluation frameworks measuring AI performance and business value
- Participating in pre-sales and prototyping activities
- Liaising with Salesforce Automotive Cloud product teams to channel client implementation feedback and influence roadmap decisions
Requirements:
- 9-14 years of experience in CRM/enterprise software, with 6+ years of experience on the Salesforce platform and 3+ years of experience with Automotive Cloud
- Expert-level knowledge of Automotive Cloud data model, Vehicle Console, Dealer Management, and Fleet Management modules
- Expert-level knowledge of Salesforce platform suite, including Sales, Service, Experience, and Automotive Cloud
- Scalable solution design for high-volume automotive scenarios with AI-assisted load modeling
- LDV limitations, design patterns, and data distribution risk analysis
- Multi-tier dealer hierarchy sharing, OWD, sharing rules, and permission sets for OEM/dealer data isolation
- Platform security capabilities, including TLS, SSL, and data encryption for automotive commercial data
- Integration with DMS, telematics ingestion platforms, and OEM proprietary back-end systems
- Middleware platforms, including MuleSoft, Boomi, and Azure Integration Services
- Auth patterns, including SAML, SSO, and OAuth 2.0
- DevOps, including environment management, Git, Copado/Gearset, and multi-sandbox deployment pipelines and release management
- Practical fluency in accelerating delivery using AI tools and maintaining code quality
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