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. 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 perks.

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 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.

The GenAI & Digital Assets Platform Team develops and operates secure, scalable, and compliant technology platforms that support innovation across the organization. The team is responsible for enterprise capabilities spanning GenAI application development, AI agents, model orchestration, governance, observability, security controls, tokenization, digital custody, distributed ledger integration, and digital settlement.
The team follows a product-led and engineering-driven approach, partnering with business and technology stakeholders to mature reusable platform capabilities and deliver solutions using Agile and DevSecOps practices.

The engineer will enhance capabilities for AI applications and agents, model integration and orchestration, governance, observability, security, automated evaluation, and developer experience. The role is responsible for delivering secure, maintainable, and production-ready solutions across requirements analysis, technical design, development, testing, deployment, and continuous improvement. Build and enhance GenAI solutions, including RAG pipelines, AI agents, prompt workflows, model integration, and safety controls.
Develop production-ready services using Python, APIs, microservices, containers, and Kubernetes or OpenShift.




Implement automated testing, continuous integration and deployment, monitoring, and operational controls.
Improve platform performance, scalability, resiliency, maintainability, and developer experience.
Conduct technical prototypes to evaluate emerging GenAI technologies and reduce delivery risk.
Ensure solutions meet security, privacy, compliance, and responsible AI requirements.
Education- Bachelor’s or higher degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
Experience Range -8-10 Yrs

Strong software engineering experience, including the design and delivery of enterprise applications or platforms.
Advanced Python development skills and experience with APIs, microservices, and Unix or Linux environments.
Hands-on experience building and deploying GenAI or machine-learning solutions in production.
Experience with LLM frameworks such as Hugging Face Transformers, PyTorch, or TensorFlow.
Experience developing RAG solutions using embeddings, retrieval techniques, and vector databases.
Experience with Docker and Kubernetes or OpenShift.
Understanding prompt engineering, LLM evaluation, monitoring, guardrails, privacy, and responsible AI controls.
Experience with relational or NoSQL databases and structured and unstructured data.
Experience with AI agents, tool integration, and orchestration frameworks such as LangChain.
Experience with model fine-tuning, model compression, or inference optimization.
Experience implementing AI solutions in financial services or another regulated environment.
Experience establishing automated evaluation, model monitoring, or MLOps capabilities

📌 Software Developer / Applications Development (Chennai)
🏢 Bank of America
📍 Chennai