Back
Strong employer and Bangalore location, but senior Databricks/Agentic AI specialization limits broader applicant competition.
High - requires deep Databricks, Agentic AI, MLOps, and enterprise AI engineering experience.
High - strict seniority plus mandatory Databricks Genie, Agentic AI, MLOps, and enterprise architecture requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead AI and Data Science engineering within the NFR Data Science team, focusing on technical excellence and best practices for enterprise AI solutions.
Own the design, development, and deployment of Databricks Genie and Agentic AI solutions, including architecture, MLOps, and scalable delivery patterns.
Drive innovation, technical strategy, stakeholder influence, and team capability uplift through mentoring, standards, and delivery of impactful AI initiatives.
8+ years of experience in Data Science, AI Engineering, or related fields.
Proven expertise in Databricks Genie development, Agentic AI implementation, enterprise AI architecture design, and MLOps on Databricks.
Advanced degree in Computer Science, Statistics, Engineering, Data Science, or related discipline.
Strong understanding of GenAI architectures and enterprise AI solution patterns; retail industry experience preferred but not mandatory.
Experienced senior individual contributor comfortable driving technical leadership and standards without formal authority.
Deep hands-on knowledge and delivery track record of production-grade AI and MLOps solutions, especially on Databricks platforms.
Strategic thinker who actively identifies technical innovation opportunities and influences cross-functional stakeholders to adopt best practices and advanced AI capabilities.