Principal Data and AI Architect
Tasks
- Build hands on prototypes and demos with Agentforce and external agents
- Design validate and operationalize enterprise data and AI architectures
- Drive technical enablement through documentation and knowledge bases
- Facilitate pre sales workshops for customers and internal teams
- Integrate Data Cloud into enterprise ecosystems
- Lead pre-sales technical design
- Lead prompt engineering testing monitoring and iteration
- Oversee data modeling identity resolution and activation strategies
- Shape best practices for generative AI and agent interoperability
- Support proof of value engagements by tuning agents and enablement
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent Builder | Agent Studio | Agent interoperability | Agent lifecycle | Agent lifecycle management | Batch Processing | Change Data Capture | Compliance | Data Capture | Data Graph Design | Data Ingestion | Data Modeling | Data cloud | Data graph | Generative AI | Generative Models | Governance frameworks | Graph design | Identity resolution | JavaScript | Jupyter | Lifecycle Management | Machine Learning | Monitoring | MuleSoft | Observability | Open Standards | Pandas | Predictive Analytics | Prompt engineering | Python | R | Real Time | Real-time Processing | SQL | Salesforce Agentforce | Streaming | Time processing
Education
N/A
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