We are seeking an experienced AI Architect with 12- 16 years of experience in AI Architecture, Solution Design, and Enterprise Data Platforms, with robust 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.
Robust 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, Delt

📌 Data Science Senior Architect Bengaluru
🏢 Tredence
📍 Bengaluru