Senior Data & AI Solutions Architect
Tasks
- Architect hybrid data integration
- Define enterprise data and AI architecture
- Deliver Agentic AI solutions
- Deliver LLM solutions
- Design embeddings strategies
- Ensure regulatory compliance
- Establish RAG strategies
- Govern enterprise data and AI architecture
- Implement Snowflake encryption
- Implement Snowflake governance RBAC
- Implement Snowflake governance dynamic masking
- Implement Snowflake governance row level security
- Implement vector database strategies
- Integrate legacy mainframe data with cloud
- Modernize ETL architecture
- Modernize lakehouse architecture
Perks/Benefits
- 401k
- Certifications support
- Dental insurance
- Employee assistance program
- Flexible workweek
- Health club membership reimbursement
- Health insurance
- Health savings account
- Long-term disability
- Paid Holidays
- Paid sick leave
- Parental leave
- Retirement plan match
- Short-term disability
- Term life insurance
- Tuition reimbursement
- Tuition reimbursement for professional development
- Vision insurance
Skills/Tech-stack
AI Foundry | Agentic AI | Azure AI | Azure AI Foundry | Azure OpenAI | Azure OpenAI Service | Compliance | Copilot Studio | DB2 migration | Data Governance | Data Sharing | Dynamic Masking | ETL | Embeddings | Encryption | Event Streaming | Fine Tuning | GDPR | Hybrid Cloud | IBM DB2 | LLM orchestration | Lakehouse | Language Models | Large Language Models | Mainframe | Microsoft Copilot | NAIC | OSFI | OpenAI Service | PIPEDA | PostgreSQL | RAG | RBAC | Row Level Security | SOX | Snowflake | Snowflake Cortex | Snowflake Data Sharing | Snowflake data | Snowpark | Talend | Vector Database
Education
N/A
Regions
Countries
States
Cities
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