AI Data Architect
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Job Description
AI Data Architect building and maintaining data pipelines and API integrations for BraunAbility's AI solutions. Ensuring security and compliance within the AI environment through effective RBAC protocols.
Responsibilities:
- Build, optimize, and maintain the data pipelines that feed BAA's AI solutions
- Automate the ingestion and structuring of unstructured data to enable highly accurate Retrieval-Augmented Generation (RAG) architectures
- Map complex enterprise data schemas to support the cognitive architecture
- Design and implement strict Role-Based Access Control (RBAC) and enterprise security protocols within the AI environment
- Monitor data flows for system drift, broken APIs, or context collapse
- Establish and maintain Service Level Agreements (SLAs) for pipeline uptime
- Develop secure API integrations between enterprise AI platforms and BAA's existing technology stack
Requirements:
- Bachelor’s degree and minimum of 6 years of related work experience required
- 3+ years of experience in data engineering, data architecture, or database administration within an enterprise environment
- Deep technical expertise working with SQL, enterprise data lakes, and ETL/ELT pipeline construction
- Strong proficiency in building and securing API integrations between disparate cloud and on-premises systems
- Experience implementing strict security frameworks and Role-Based Access Controls (RBAC) at the database and application layer
- Exceptional troubleshooting and debugging skills — able to independently diagnose integration issues across legacy platforms without waiting for vendor support
- Comfort operating in a small, fast-moving team where you own entire workstreams end-to-end without layers of specialization or handoffs.
Benefits:
- Health insurance
- Paid time off
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