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 .
- Strong 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.
- Strong 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