GlobalPoint
Base pay range
$65.00/yr - $68.00/yr
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, 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
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.
Key Responsibilities
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.
Core Skills
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.
Preferred Profile
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Design, Art/Creative, and Information Technology
Industries IT Services and IT Consulting
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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, 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
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.
Key Responsibilities
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.
Core Skills
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.
Preferred Profile
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.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Design, Art/Creative, and Information Technology
Industries IT Services and IT Consulting
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