In this role, you’ll make an impact in the following ways:
Partner with business, product, operations, and engineering leaders to identify, prioritize, and define AI use cases across Asset Servicing and Middle Office.
Design, build, and help implement AI/ML and generative AI solutions , including prototypes, production-ready services, and reusable patterns.
Translate domain needs into technical requirements, solution designs, and delivery roadmaps aligned to platform and business priorities.
Work closely with data, architecture, security, risk, and engineering teams to ensure solutions are scalable, secure, well-governed, and operationally supportable .
Evaluate feasibility, value, and risk of AI opportunities, including data readiness, model suitability, controls, and adoption considerations.
Establish and promote engineering standards, design patterns, and best practices for responsible AI development and deployment.
Support experimentation and innovation while maintaining strong focus on business outcomes, control requirements, and production quality .

To be successful in this role, we’re seeking the following:
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field,



or equivalent practical experience.
Significant experience in software engineering, AI/ML engineering, or applied data/AI solution delivery .
Robust domain knowledge of Asset Servicing and Middle Office , including business processes, data flows, operational controls, and client/service considerations.
Experience identifying business problems and translating them into AI/ML, analytics, or generative AI solutions.
Hands-on experience designing and building production-grade solutions using contemporary engineering practices, APIs, cloud-native services, and data platforms.
Robust understanding of AI/ML lifecycle concepts, including model development, evaluation, deployment, monitoring, and governance.
Experience working across cross-functional teams to deliver complex initiatives from concept through implementation.
Strong communication and stakeholder management skills, with ability to influence across business and technology organizations.
Demonstrated ability to balance innovation with risk, governance, and regulatory expectations in a financial services environment.

📌 Senior Vice President, Ai / Machine Learning Software Engineer Pune
🏢 The Bank of New York Mellon
📍 Pune