Design and implement AI solutions on Azure and Databricks platforms. Modernize and standardize company's Azure and Databricks platform with governance, performance tuning, and cost optimization. Build an AI-ready data layer that supports both BI and predictive/ML workloads.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Role: AI Solutions Architect
Location: 100% remote in USA, EST or CST states only
Objectives:
- Modernize/standardize company’s Azure + Databricks platform with governance, performance tuning, and FinOps/cost optimization.
- Productionize 3 predictive-model apps currently in a sandbox: design separate environments, capacity planning (incl. GPUs), uptime/SLAs, and a repeatable rollout plan.
- Build an AI-ready data layer (medallion + feature store decisions) that supports both BI and predictive/ML workloads.
- Architect for multi-subsidiary growth: consume data across subsidiaries without crossing privacy boundaries, while enabling approved aggregated/anonymized modeling.
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Requirements:
- Bachelor's Degree or higher
- Azure
- Databricks, Delta Lake/Delta Live Tables
- Mosaic AI (or similar GenAI tool)
- Agentic AI
- LLM
- Python or Spark, SQL
- Multi-Tenant (PII isolation, identity controls)
- Medallion knowledge (gold/silver/bronze)
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