What are the responsibilities and job description for the Senior AI Architect / Data Scientist position at GlobalPoint?
Onshore Senior AI Architect / Data Scientist to design and scale intelligent, multi-modal AI solutions on Databricks using GenAI and modern orchestration frameworks. The role demands strong Databricks expertise, GenAI integration skills( hands on ) and architecture-level design thinking.
The selected candidate will play a key role in architecting and expanding our next-generation intelligence platform across multiple use cases under the Global Brand Protection program.
Core Use Cases
The selected candidate will play a key role in architecting and expanding our next-generation intelligence platform across multiple use cases under the Global Brand Protection program.
Core Use Cases
- Columbo: Natural Language to SQL search over Databricks data, including fuzzy matching and unstructured text handling.
- Sales Anomaly Detection: Isolation-Forest-based anomaly detection on sales data.
- Counterfeit Image Detection: ViT-based image authenticity classification.
- Provide technical leadership across AI architecture, model integration, and delivery.
- Architect end-to-end AI pipelines using Databricks (Delta, Unity Catalog, MLflow, Model Serving).
- Integrate GenAI platforms (Mosaic AI, Genie, Azure OpenAI) and orchestrate them via an MCP server for NL→SQL and conversational intelligence.
- Implement governed, cost-optimized MLOps pipelines with retraining, lineage, and observability.
- Build multi-agent architectures combining text, tabular, and image models.
- Enforce role-based security and governance through Unity Catalog.
- Collaborate with UI (React) teams to integrate model outputs in Databricks web apps.
- Lead feedback-driven model improvements and cross-functional mentoring.
- Databricks Platform: SQL Warehouse, Unity Catalog, MLflow, Model Serving, OCR.
- GenAI Tools: Mosaic AI, Genie, Azure OpenAI, LangChain, Vector Search, MCP Server for orchestrating AI tools and context.
- ML Techniques: Isolation Forest, PSI/KSI drift detection, model retraining.
- Vision Models: ViT, Grad-CAM, explainability methods.
- Data Engineering: Spark, Python, Delta Lake, REST APIs.
- Governance & Security: RBAC, lineage, masking, compliance policies.
- Soft Skills: Architecture design, stakeholder alignment, communication.
- 8 years in AI/ML or Data Science, 3 years on Databricks.
- Proven experience with LLM-driven architectures (RAG, NL→SQL).
- Ability to design multi-modal, scalable, and cost-efficient AI systems.
- Familiarity with A2A protocols and Databricks Mosaic AI/Genie.
- Experience deploying MCP Server to orchestrate multi-agent GenAI tool access.
Salary : $65 - $68