Principal Data and AI Architect
SGD 160K-214K (estimate) Senior-level Full Time
Tasks
- Build hands on demos and prototypes
- Configure conversational and background agents
- Create technical documentation and knowledge bases
- Define data modeling identity resolution and activation strategies
- Design validate and operationalize enterprise data and AI architectures
- Develop prompt engineering testing monitoring and iteration
- Facilitate pre-sales workshops
- Integrate Data Cloud CRM MuleSoft and external agent endpoints
- Lead pre-sales technical design
- Map and integrate external agents into Agentforce via open standards
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | API Integration | Agent Orchestration | Agent interoperability | Amazon Redshift | Amazon SageMaker | Artificial Intelligence | Background Agents | Batch Processing | CDC | CRM | Cloud Data | Cloud Data Platforms | Conversational agents | Data Architecture | Data Ingestion | Data Modeling | Data cloud | Data graph | Data platforms | Databricks | Generative AI | Google BigQuery | Google Vertex | Google Vertex AI | Identity resolution | JavaScript | Jupyter | MCP | MLOps | Machine Learning | Monitoring | MuleSoft | Observability | Open Standards | Pandas | Prompt engineering | PyTorch | Python | R | Real Time | Real-time Processing | SQL | Snowflake | Streaming | Technical documentation | TensorFlow | Testing | Time processing | Vertex AI
Education
Roles
AI | AI Architect | Architect | Data Architect | Solutions Architect
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