Data and AI Architect
Tampa, Florida, United States
USD 176K-332K (estimate) Senior-level Full Time
Tasks
- Architect and deploy GenAI and ML solutions
- Build RAG and Graph RAG applications
- Build and maintain data pipelines
- Define Responsible AI practices
- Design agentic AI workflows
- Design governed data integrations
- Enable governed self service analytics
- Establish data governance frameworks
- Identify and deliver AI/ML use cases
- Lead data and AI projects end to end
- Mentor data team members
- Optimize SAP HANA Cloud for analytics and AI
- Own enterprise data architecture
Perks/Benefits
- 401k match
- Dental insurance
- Employee discount
- Flexible spending account
- Health insurance
- Health savings account
- Life and AD and D insurance
- Long-term disability
- Paid Holidays
- Paid sick time off
- Pet insurance
- Short-term disability
- Vacation days
- Vision insurance
- Well-being benefit
Skills/Tech-stack
AI Core | AI Launchpad | AWS | AWS Bedrock | Alation | Apache Airflow | Apache Spark | Azure | Azure OpenAI | CI/CD | Collibra | DBT | Data Lineage | Data Quality | Delta Lake | Docker | GCP | GenAI Hub | Git | HANA Cloud | HANA Cloud Vector Engine | Iceberg | Knowledge graphs | LLM | Langchain | Langgraph | Metadata Management | Parquet | Python | RAG | RBAC | Responsible AI | SAP AI | SAP AI Core | SAP AI Launchpad | SAP BDC | SAP BTP | SAP BW4HANA | SAP CDS | SAP Datasphere | SAP GenAI Hub | SAP HANA | SAP HANA Cloud | SAP S4HANA | SAP SAC | SQL | TOGAF | Vector Databases | Vector Engine
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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