About this role

Responsible for preparing the 'big data" infrastructure to be analyzed by Data Scientists and Analysts. Designs, builds, integrates, tests and maintains highly scalable data management systems with data from various sources and then writes complex queries to ensure data is easily accessible and analytics work smoothly. May employ a variety of languages and tools to integrate new data management technologies and software engineering tools into existing structures. May work closely with others to determine what data management systems are appropriate and is responsible for problem-solving database integration issues and handling messy, unstructured data sets. The overall goal is optimizing the performance of the firm's big data ecosystem.

Key Responsibilities

Define and drive the technical strategy and roadmap for applied AI capabilities within Hyperion, aligning AI investments with business priorities across Private Markets.

Lead the architecture, design,



and scaling of complex multi-agent workflows using frameworks such as LangGraph or similar orchestration frameworks.

Drive the end-to-end lifecycle of AI applications, from proof of concept to MVP to production deployment, including data pipelines, backend services, and platform integration, leveraging Agile methodologies to deliver iteratively and at scale.

Lead the integration of LLM-powered capabilities into core business products and platform services, ensuring high availability, low latency, resilience, and maintainability.

Establish robust evaluation frameworks to assess agent behavior, trajectories, decision quality, and system performance, with a robust focus on reliability, explainability, and business relevance.

Define and enforce engineering best practices for applied AI, including testing, observability, CI/CD, model and prompt evaluation, and production controls.

Establish standards for responsible AI, governance, risk management, and operational excellence appropriate for a reg

📌 Director, Data Architecture/Engineering (Mumbai)
🏢 BlackRock
📍 Mumbai