About the Role

IndusInd Bank's AI Centre of Excellence is looking for a highly skilled Senior AI Engineer to design, develop, and deploy next-generation AI/ML and Generative AI solutions. The role demands strong hands-on programming expertise, experience in building production-ready AI systems, and the ability to independently deliver scalable enterprise-grade solutions while mentoring junior team members.

Key Responsibilities

- Design, build, and deploy AI/ML models and Generative AI applications using Python on the Databricks platform.
- Develop and implement LLM-powered solutions, including prompt engineering, Retrieval-Augmented Generation (RAG), embeddings-based workflows, and API-driven model inference.
- Write high-quality, production-grade code for data preprocessing, feature engineering, model training, evaluation, and deployment.
- Build and maintain scalable data pipelines using Azure Data Lake Storage (ADLS Gen2), Delta Lake, and Delta Live Tables.
- Operationalize AI solutions through MLflow, model serving, monitoring frameworks, and CI/CD pipelines.
- Develop AI agents, multi-agent systems, guardrails, and traceability mechanisms for enterprise AI use cases.
- Collaborate closely with Data Scientists, Product Managers, Data Engineers, and AIOps teams to deliver impactful business solutions.
- Conduct code reviews, provide technical guidance, and mentor junior AI Engineers to support capability development within the team.

Required Qualifications & Skills

- 2 to 5 years of hands-on experience in AI/ML Engineering, Software Development,



Data Science, or Generative AI solution development.
- Strong proficiency in Python and AI/ML libraries, including NumPy, Pandas, Scikit-learn, PyTorch, and TensorFlow.
- Solid understanding of Machine Learning concepts, including supervised and unsupervised learning, feature engineering, model evaluation, and deployment.
- Practical experience with Large Language Models (LLMs), prompt engineering, embeddings, vector search, RAG architectures, and API-based model integration.
- Hands-on experience with Databricks, including notebooks, workflows, MLflow, model serving, and deployment practices.
- Experience working with Azure cloud services, particularly ADLS Gen2 and related data engineering components.
- Robust knowledge of SQL, REST APIs, Git, and software engineering best practices.
- Understanding of MLOps and LLMOps concepts, including model registry, monitoring, staged deployments, retraining workflows, and governance.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.

Preferred Qualifications

- Experience with Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, or Databricks Agent Framework.
- Prior experience in the Banking, Financial Services, or FinTech domain.
- Familiarity with Responsible AI practices, model governance, guardrails, explainability, monitoring, and auditability requirements.
- Exposure to enterprise-scale AI deployments and cloud-native architectures.

📌 Senior AI Engineer (Karnataka)
🏢 IndusInd Bank
📍 Karnataka