Principal Data and AI Architect
GBP 72K-105K (estimate) Senior-level Full Time
Tasks
- Advise on data modeling identity resolution and data graphs
- Build hands on prototypes and demos
- Co-create integration prototypes for customers
- Configure conversational and background agents
- Create and manage technical knowledge bases
- Design and operationalize enterprise data and AI architectures
- Develop generative AI and agent best practices
- Develop thought leadership enablement content
- Facilitate pre-sales workshops
- Integrate Data Cloud and CRM using APIs
- Lead pre-sales technical design
- Lead prompt engineering testing and monitoring
- Map and integrate external agents using interoperability standards
- Support internal technical enablement and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | API Integration | AWS SageMaker | Activation Strategies | Agent interoperability | Agent lifecycle | Agent lifecycle management | Agentforce | Artificial Intelligence | Batch Processing | BigQuery | Compliance | Continuous Data | Continuous Data Capture | Data Architecture | Data Capture | Data Governance | Data Ingestion | Data Modeling | Data cloud | Data graphs | Databricks | Generative AI | Google Vertex | Google Vertex AI | Identity resolution | JavaScript | Jupyter | Lifecycle Management | MCP | MLOps | Machine Learning | Monitoring | MuleSoft | Observability | Open Standards | Pandas | Programming | Prompt engineering | PyTorch | Python | R | Real Time | Real-time Processing | Redshift | SQL | Salesforce | Snowflake | Streaming | TensorFlow | Time processing | Vertex AI
Education
Roles
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