Senior Data Science Manager

We are seeking an experienced AI Architect with 1216 years of experience in AI Architecture, Solution Design, and Enterprise Data Platforms, with strong expertise in Databricks. The ideal candidate will lead the design and implementation of scalable AI/ML and Generative AI solutions, define AI technology roadmaps, and drive enterprise AI transformation initiatives.

The role requires deep expertise in Databricks Lakehouse Platform, AI/ML architecture, Generative AI, LLMs, RAG, MLOps, and cloud technologies, along with the ability to translate business requirements into scalable, secure, and production-ready solutions.

Key Responsibilities:

• Define AI architecture strategies, roadmaps, and reference architectures aligned with business objectives.
• Lead AI solutioning workshops and design end-to-end AI, ML, and Generative AI solutions.
• Architect and implement AI and data platforms using Databricks Lakehouse, including Delta Lake, Unity Catalog, MLflow, Mosaic AI, and Databricks Workflows.
• Design scalable data pipelines, governance frameworks, and modernization strategies for enterprise platforms.
• Build and deploy GenAI solutions leveraging LLMs, RAG frameworks, Vector Databases, and AI Agents.
• Establish MLOps/LLMOps practices, model governance, monitoring, and AI lifecycle management.
• Provide technical leadership, mentor engineering teams, and engage with senior stakeholders on AI strategy and transformation initiatives.

Required Qualifications:

• 1216 years of overall IT experience.
• 5+ years of experience in AI/ML Architecture, Solution Design, and AI Consulting.
• 5+ years of hands-on experience with Databricks.
• Proven experience delivering enterprise-scale AI, Analytics, and Data Platform solutions.
• Strong stakeholder management, leadership, and solution consulting skills.

Technical Skills:

• AI/ML & GenAI: LLMs, RAG, Prompt Engineering, AI Agents, Model Governance, Explainable AI.
• Databricks: Delta Lake, Unity Catalog, MLflow, Mosaic AI, Delta Live Tables, Databricks SQL, Feature Store.
• Programming: Python, PySpark, SQL.
• MLOps/LLMOps: CI/CD, MLflow, Azure DevOps/GitHub Actions, Model Monitoring.
• Cloud: Azure (preferred), AWS, or GCP; experience with Azure Databricks, Azure OpenAI, Azure AI Foundry, SageMaker, Bedrock, or Vertex AI.

Preferred Qualifications:

• Databricks, Azure AI, or Cloud Architect certifications.
• Experience across BFSI, Retail, Healthcare, Manufacturing, or Telecom domains.
• Exposure to Enterprise Architecture frameworks and Responsible AI practices.

Key Competencies:

AI Architecture | AI Solutioning | Databricks Lakehouse | Generative AI | LLMs | RAG | MLOps | Cloud Architecture | Enterprise Data Platforms | Stakeholder Management | Technical Leadership