About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a outstanding place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview

As part of Global Markets Technology Strategy & Innovation ,



working closely with the Quantitative Strategies & Data Group (QSDG) and Platform teams, this organization is chartered with driving the firm's AI-first transformation across trading, research, and client engagement.

Our mission is to build enterprise-grade GenAI capabilities that unlock new insights from structured and unstructured data, accelerate revenue growth, and enhance operational efficiency across Global Markets. We are building a platform that serves a rapidly growing pipeline of GenAI use cases, leveraging both proprietary and open-source Large Language Models (LLMs) alongside the firm's vast data assets.

Generative AI (GenAI) presents a transformational opportunity to derive deeper insights from data, accelerate revenue growth, and enhance business processes. We are seeking a Senior Software Engineer to design, build, and deploy production-grade GenAI solutions on our Global Markets platform.

As a Senior Software Engineer, you will be hands-on building RAG pipelines, integrating LLMs, developing model serving infrastructure, and implementing MLOps workflows. You will work across the full stack—from data ingestion and embeddings to model deployment and monitoring—delivering AI-powered capabilities that directly impact traders, researchers, and clients.

This role requires strong software engineering fundamentals combined with deep expertise in GenAI technologies. You will collaborate with cross-functional teams, mentor junior engineers,



and drive innovation through rapid prototyping and production delivery.

**Responsibilities:

- **

GenAI Development & Implementation

- Design and implement end-to-end Retrieval-Augmented Generation (RAG) pipelines including document processing, embedding generation, vector storage, and retrieval optimization
- Develop prompt engineering workflows, template libraries, and prompt optimization strategies for enterprise use cases
- Implement fine-tuning pipelines using LoRA, QLoRA, Adapters, or instruction tuning methodologies
- Build agent-based architectures with tool augmentation and multi-step reasoning capabilities
- Integrate multimodal models handling text, tabular data, and unstructured content

Platform & Infrastructure

- Develop production-grade model serving infrastructure using Docker, Kubernetes/OpenShift, and model frameworks
- Build scalable inference APIs with load balancing, caching, and request routing
- Implement vector database solutions with optimized indexing and search
- Design and deploy microservices for data preprocessing, feature extraction, and post-processing
- Optimize model inference performance through quantization, batching, and hardware acceleration

MLOps & Model Lifecycle

- Build CI/CD pipelines for model deployment, versioning, and rollback
- Implement model monitoring, drift detection, and automated evaluation frameworks
- Develop A/B testing infrastructure for model comparison and champion/challenger strategies
- Create logging and observability solutions for LLM requests, responses, and performance metrics
- Build hallucination detection, factuality checks, and safety guardrails into production pipelines

Collaboration & Delivery

- Partner with bus

📌 Data Scientist I B - Gbs Ind (Mumbai)
🏢 Bank Of America
📍 Mumbai