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Tier-1 brand, metro location, and popular senior ML/AI title with broad GenAI skillset increase competition.
Role requires specialized ML/GenAI plus finance and reconciliation domain knowledge, reducing cross-industry transferability.
Many specific mandatory technologies and senior-level expectations make shortlisting highly stringent.
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Architect and deliver AI/ML-based intelligent automation solutions across SQA, Business, and Development teams.
Develop and maintain multi-agent systems, Chatbots, and automated workflows integrating platforms like Jira, Azure, Databricks, Snowflake, Oracle Exadata.
Build scalable test automation frameworks and support complex data migrations and reconciliations using advanced AI/ML techniques and frameworks (LangChain, LangGraph, Knowledge Graphs, GraphRAG).
Strong proficiency in Python programming; knowledge of Java, Playwright, and Cucumber also required.
Experience designing and deploying AI-driven automation using frameworks like LangChain, LangGraph, Neural Networks, Knowledge Graphs.
Work Experience Required: Not explicitly mentioned in the JD.
Work Location: Hyderabad; Work Schedule: Hybrid.
Hands-on experience with advanced AI/ML frameworks and automation pipeline development, especially multi-agent and conversational AI ecosystems.
Ability to architect and implement AI solutions for enterprise-scale data migrations, regulatory reconciliations, and testing automation.
Familiarity with financial services technology platforms and automated testing suites integrated with cloud and database technologies.