Vice President, AI / Machine Learning Software Engineer

Vice President, AI / Machine Learning Software Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President, AI / Machine Learning Software Engineer to join our Global Payments & Trade CAO team. This role is in Pune.

In this role, you’ll make an impact in the following ways: AI Solution Engineering

Design and develop AI-powered applications, autonomous agents, copilots, and intelligent automation solutions. Build and integrate LLM-based applications using frameworks such as LangChain, Semantic Kernel, AutoGen, CrewAI, or equivalent. Develop Retrieval Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge stores. Fine-tune, evaluate, and optimize AI models for performance, scalability, and cost efficiency. Implement responsible AI, model governance, explainability, and monitoring capabilities.

AI Architecture & Platform Development

Translate business requirements into scalable AI solution designs and technical architectures. Define patterns for agent orchestration, prompt management, tool integrations, memory management, and context engineering. Design reusable AI engineering components and accelerate solution delivery through standardized frameworks. Participate in architecture reviews and technology evaluations.

Data Engineering

Design and build scalable ETL/ELT pipelines to ingest, transform, and curate structured and unstructured data. Develop data workflows supporting AI and analytics use cases. Engineer datasets for machine learning and generative AI applications. Build integrations with enterprise systems, APIs, databases, and cloud services. Ensure data quality, lineage, security, and governance standards are upheld.

MLOps & AI Operations

Build CI/CD pipelines for machine learning and AI applications. Automate model deployment, monitoring, retraining, and lifecycle management processes. Implement observability, logging, performance metrics, and drift detection mechanisms. Support production AI workloads and continuously improve solution reliability.

To be successful in this role, we’re seeking the following: Experience

10+ years of software engineering, AI engineering, machine learning, or data engineering experience. Minimum 8+ years of hands-on experience building Generative AI applications. Experience leading technical workstreams or small engineering teams.

Technical Skills

Programming

Python (Expert) SQL (Advanced) JavaScript/TypeScript (Preferred) REST API development

AI/ML

Large Language Models (GPT, Claude, Gemini, Llama, etc.) Prompt Engineering Agentic AI architecture RAG implementations Machine Learning fundamentals NLP and document intelligence

Data Engineering

Databricks, Spark, or equivalent Data pipelines and workflow orchestration Structured and unstructured data processing

Cloud Platforms Experience with one or more:

Microsoft Azure (Azure AI Foundry, Azure OpenAI, Fabric, Data Factory) AWS (Bedrock, SageMaker, Glue, Lambda, EMR)

MLOps / DevOps

GitHub / Azure DevOps Docker Kubernetes (preferred) MLflow CI/CD pipelines Monitoring and observability tools

Databases

SQL Server, PostgreSQL, Snowflake Vector databases (ChromaDB, Pinecone, Weaviate, MongoDB Atlas