Principal Data and AI Architect
Tasks
- Build hands on prototypes and demos
- Configure conversational and background agents
- Create and maintain technical documentation and knowledge bases
- Define generative AI best practices
- Design data modeling identity resolution and activation strategies
- Design validate and operationalize data and AI architectures
- Facilitate pre-sales workshops and enablement sessions
- Integrate Salesforce Data Cloud and MuleSoft APIs
- Lead pre-sales technical design
- Lead prompt engineering testing monitoring and iteration
- Map and integrate external agents using open standards
- Oversee data ingestion patterns batch streaming and CDC
- Own governance and observability considerations
- Recommend agent and integration solutions
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | API Integration | Agent Builder | Agent Studio | Agent interoperability | Agent lifecycle | Agent lifecycle management | Agentforce | Amazon Redshift | Amazon SageMaker | Artificial Intelligence | Batch Processing | BigQuery | CDC | Cloud Data | Cloud Data Platforms | Data Architecture | Data Graph Design | Data Ingestion | Data Modeling | Data activation | Data cloud | Data graph | Data platforms | Databricks | Generative AI | Graph design | Identity resolution | JavaScript | Jupyter | Lifecycle Management | MCP | MLOps | Machine Learning | Monitoring | MuleSoft | Observability | Open Standards | Pandas | Prompt engineering | PyTorch | Python | R | Real Time | Real-time Processing | SQL | Salesforce | Snowflake | Streaming | TensorFlow | Time processing | Vertex AI
Education
N/A
Regions
Countries
States
Cities
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