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Tier-1 brand plus sought-after senior AI/ML role with broad GenAI tooling yields medium competition.
Advanced ML/GenAI and enterprise database integration skills moderately transferable across industries.
Multiple mandatory GenAI, agentic, database and automation technology requirements make shortlisting highly selective.
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Architect and deliver advanced AI/ML automation solutions for SQA, Business, and Development teams using Python and core AI frameworks.
Design and implement multi-agent systems, conversational chatbots, and intelligent workflows integrating platforms like Jira, Azure, Databricks, Snowflake, and Oracle Exadata.
Build automated systems for data migration validation and regulatory reconciliations using Knowledge Graphs, GraphRAG, Neural Networks, and maintain scalable test frameworks with Java, Playwright, and Cucumber.
Proficiency in Python programming and experience with AI/ML frameworks such as LangChain, LangGraph, Knowledge Graphs, GraphRAG.
Experience working with Java, Playwright, and Cucumber for automation testing frameworks.
Familiarity with integrating and orchestrating workflows across platforms like Jira, Azure, Databricks, Snowflake, and Oracle Exadata.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in building stateful AI-driven automation and multi-agent ecosystems with a focus on enterprise-scale data and regulatory workflows.
Skilled in cross-platform integration and orchestration of AI solutions to improve engineering productivity and testing robustness.
Comfortable working in a hybrid environment within a global financial technology services context focused on digital transformation and next-generation AI applications.