GenAI Architect - Senior Manager

Overview

Lead GenAI architecture workstreams within the Data and Analytics Engineering practice, shaping and delivering GenAI-enabled solutions that combine architecture, data engineering and modern cloud patterns for client transformation.

What you'll do

• Lead GenAI architecture workstreams for data modernization programs and shape solution direction across client engagements
• Design scalable AI and data engineering patterns that integrate cloud services, data platforms and orchestration tools
• Translate business needs into technical roadmaps for data pipelines, data products and modern data platforms
• Advise stakeholders on GenAI use cases, platform choices and integration approaches across enterprise environments
• Oversee solution design across Snowflake, Databricks, Azure Data Factory, AWS, Apache Airflow and related data tools
• Guide teams through data architecture decisions, model design, performance tuning and data quality planning
• Validate technical approaches for data security, anonymization, database management and data warehouse optimization
• Coach delivery teams on agile ways of working, rapid experimentation and practical AI-human collaboration
• Build trusted client relationships through clear technical storytelling, scenario analysis and informed recommendation development
• Drive innovation in data engineering platforms and reusable patterns that support scalable GenAI adoption

What you'll need

• At least a Bachelor's degree
• At least 12+ years of experience
• Oral and written proficiency in English

Nice to have

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating GenAI architecture experience across data modernisation programs
• Applying AWS, Azure or Databricks in cloud data platforms
• Designing data pipelines, lakehouse models and data warehouse solutions
• Translating business goals into scalable data architecture plans
• Leading client conversations through ambiguity and technical complexity
• Coaching teams on AI fluency, data strategy and innovation

Details

• Location: Bangalore