Lead II - Product Architect
UST (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of enterprise-scale AI/ML and Generative AI solutions on modern data platforms including data lakes, warehouses, and lakehouses.
- Own end-to-end architecture covering data ingestion, modeling, Knowledge Graphs, AI/ML pipelines, MLOps, GraphRAG, and integration with cloud-native AI platforms.
- Ensure scalability, governance, security, and operational excellence of AI and data architectures while collaborating with stakeholders to translate business needs into AI solutions.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, IT, Data Science, or related field; Master's preferred.
- 12+ years of experience in Data, Analytics, AI/ML, or Enterprise Architecture with proven AI/ML architecture expertise.
- Hands-on experience with graph databases (Neo4j, AWS Neptune), Knowledge Graph design, and cloud platforms (Azure, AWS, or GCP).
- Proficient in Python, SQL, PySpark, Apache Spark, Kafka, MLOps, data modeling, and data governance frameworks.
Ideal Candidate Profile
- Experienced strategic leader skilled in bridging enterprise data architecture and AI/ML solution design at scale.
- Deep expertise in graph-based AI technologies including Knowledge Graphs, GraphRAG, LLM integration, and cloud-native data ecosystems.
- Ability to drive complex enterprise transformation initiatives involving scalable AI/ML and Generative AI deployments with governance and security focus.