Solution Architect, Data Science and AI
Tasks
- Architect Generative AI solutions
- Architect end-to-end machine learning solutions
- Conduct architectural governance workshops
- Contribute lakehouse and medallion architectures
- Create architecture deliverables for statements of work
- Design MLOps pipelines
- Design agentic workflows
- Design fine tuning and embeddings solutions
- Develop level-of-effort estimates
- Implement retrieval-augmented generation
- Lead architecture reviews
- Lead client presales discovery workshops
- Model deployment and monitoring
- Perform Python and PySpark code reviews
- Provide delivery design assurance
Perks/Benefits
- Bonus plan
- Disability programs
- Flexible work arrangements
- Life insurance
- Medical, dental, and vision coverage
- Paid time off
- Remote work options
- Retirement savings match
Skills/Tech-stack
AI Search | AI Services | Agentic Workflows | Azure | Azure AI | Azure AI Search | Azure AI Services | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | CAF | Computer Vision | Data Governance | Databricks | Delta Lake | Deployment Monitoring | Document Intelligence | Embeddings | Evaluation Frameworks | Feature Engineering | Fine Tuning | Generative AI | GitHub Copilot | Lakehouse Architecture | MLOps | MLflow | Machine Learning | Medallion Architecture | Microsoft Fabric | Model Evaluation | Model Serving | Model Training | OpenAI Service | PySpark | Python | Retrieval-Augmented Generation | Unity Catalog | Well Architected | Well-Architected Framework
Education
Regions
Countries
States
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