Data AI Architect

About the role

Infosys Quality Engineering team drives AI-driven data solutions for enterprise clients. The Data AI Architect designs and implements AI data foundations, including ingestion, transformation, feature stores, and RAG pipelines, while ensuring data quality, governance, and low-latency performance. Works on-site in Bangalore, collaborating with product and engineering teams to deliver AI-enabled analytics and generative BI platforms.

What you’ll do

• Architect AI data foundations and serving layers
• Define standards for data quality, lineage, and governance
• Develop validation and testing frameworks for AI data pipelines
• Integrate data platforms with AI services and analytics tools
• Guide teams on AI-enabled BI and data-driven systems
• Mentor engineers on AI/ML best practices
• Partner with product teams to identify AI data opportunities
• Support client workshops and solution presentations

What you’ll bring

• 13-20 years experience
• AI data architecture expertise
• RAG and embedding pipelines
• Feature store design
• Spark and Kafka proficiency
• Databricks and Palantir Foundry experience
• MLOps CI/CD tooling
• Cloud AI platforms (AWS, Azure, GCP)

Skills