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Databricks in India—Bengaluru or Mumbai—seeks a Senior Manager to lead the AI Forward Deployed Engineering (FDE) team, delivering GenAI production applications for key customers. You will hire and develop data scientists and ML engineers, build executive relationships, and own OKRs for AI services.
Reporting to the India FDE leader with dotted line to APJ AI FDE leader, you should travel monthly and shape the strategy for strategic accounts, influencing Product, R&D and GTM with delivery
Ameerpet, Hyderabad · Classroom & live online
AI/ML leadership GenAI applications team building executive stakeholder management professional services AWS Azure GCP architecture reviews AI transformation
Databricks is hiring a Senior Manager to lead and grow its AI Forward Deployed Engineering team in India, delivering production GenAI applications for key customers.
Databricks' AI Forward Deployed Engineering team is a specialised, customer-facing group that delivers professional services engagements to help customers build and productionise new GenAI applications, working with AI Product, Research and Engineering.
This Senior Manager will lead and grow the team in India: hiring and developing data scientists and machine learning engineers, managing key accounts, building executive relationships and owning OKRs for AI services. The posting says the ideal candidate is based in Bangalore or Mumbai, reports to the India FDE leader with a dotted line to the APJ AI FDE leader, and should expect to travel at least monthly.
This listing was verified on the employer's own careers page on 6 October 2026.
This role leads a GenAI delivery team at a major data and AI platform company, with responsibility for people, revenue and customer outcomes. It suits technical leaders who want to stay credible in architecture reviews while building a practice.
Prepare to discuss how you would structure and grow an AI FDE team, measure utilisation and outcomes, and manage a portfolio of key accounts. Expect technical questions on GenAI system design, including retrieval and agents, alongside leadership scenarios. Useful reading: our RAG interview questions and agentic AI interview questions.
Owning team growth, OKRs and executive relationships for an AI services practice prepares you for director-level leadership in professional services, field engineering or AI delivery organisations.