Software Engineer I A - GBS IND

Bank of America; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Bank of America in Hyderabad seeks an AI Agent & Data/ML Engineer to design and operate AI agents, large‑scale data pipelines, and ML solutions enabling enterprise automation in a regulated environment.

The role requires strong Python/SQL skills, experience with LangChain and vector databases, and hands‑on ML deployment using MLflow, Azure ML or SageMaker. Hyderabad office, on‑site with flexible role‑specific arrangements.

Qualifications

• 3+ years of experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering.
• Proficiency in Python, SQL, and one additional language (Scala/Java/Go).
• Hands‑on experience designing AI agents, tool chains, and agent frameworks (LangChain, LlamaIndex, AutoGen).
• Strong understanding of LLM integration, function‑calling patterns, prompt engineering, and agent orchestration.
• Experience deploying ML models using MLflow, Azure ML, SageMaker, Kubeflow, or similar.
• Proficiency in TensorFlow, PyTorch, Scikit‑Learn, or equivalent ML frameworks.
• Experience building scalable data pipelines using Spark, Databricks, or similar.
• Knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization.
• Experience with CI/CD pipelines, automated testing, code reviews, and deployment automation.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

Responsibilities

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained.
• Mentors other software engineers and coach team on CI‑CD practices and automating tool stack.
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle.
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas.
• Automates manual release activities.
• Designs, develops, and maintains automated test suites (integration, regression, performance).

Skills

Python

SQL

LLM integration

LangChain

AI engineering

TensorFlow

PyTorch

Spark/Databricks

Docker

Kubernetes

CI/CD

Prompt engineering

Data pipelines

Education

Bachelor's degree or higher

Tools

MLflow

Azure ML

SageMaker

Kubeflow

Docker

Kubernetes

Databricks

Spark

FAISS

Job description

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. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates’ physical, emotional, and financial wellness through affordable, competitive and flexible benefits. We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve. Bank of America is committed to an in‑office culture that supports collaboration, engagement, and career development. Our approach includes clear in‑office expectations, while providing an appropriate level of flexibility based on role‑specific responsibilities and business needs. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact.

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.

Job Description

The AI Agent & Data/ML Engineer will design, develop, and operate AI agents, large‑scale data pipelines, and machine learning solutions to support enterprise automation and analytics initiatives. This role requires strong engineering skills, expertise in LLM and agentic architecture, and the ability to deploy AI systems securely and reliably within a regulated environment.

Responsibilities

• Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI‑CD) practices and automating tool stack
• Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• Automates manual release activities
• Designs, develops, and maintains automated test suites (integration, regression, performance)

Requirements Education

Any Graduation / Post Graduation Experience Range: 3 to 5 years of experience

Foundational skills

• 3+ years of experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering.
• Strong proficiency in Python, SQL, and one additional programming language (Scala/Java/Go).
• Hands‑on experience designing AI agents, tool chains, and agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen, etc.).
• Strong understanding of LLM integration, function‑calling patterns, prompt engineering, and agent orchestration.
• Experience deploying ML models using MLflow, Azure ML, SageMaker, Kubeflow, or similar.
• Proficiency in TensorFlow, PyTorch, Scikit‑Learn, or equivalent ML frameworks.
• Experience building scalable data pipelines using Spark, Databricks, or similar technologies.
• Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization.
• Experience with CI/CD pipelines, automated testing, code reviews, and deployment automation.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

Desired skills

• Understanding of Responsible AI concepts, model fairness, bias detection, and safety filters.
• Experience with high‑compliance environments (financial services, healthcare, or government).
• Industry certification will be plus (For Example Azure/AWS/GCP Data or AI Engineering) undefined

Work Timings

11:30 AM - 8:30 PM

Job Location

Hyderabad