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Tier-1 brand, metro location, and broad specialist tech stack increase applicant competition.
Finance-specific systems, regulatory reconciliation, and Exadata expertise make the role poorly transferable across industries.
Numerous mandatory, specialized technologies and domain-specific automation requirements imply stringent technical filters.
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Design and deploy AI-driven intelligent automation solutions leveraging Generative AI, Chatbots, Agentic workflows, and Neural Networks across SQA, Business, and Development teams.
Build and maintain scalable automation and test frameworks using Python, Java, Playwright, and Cucumber to ensure system stability and accelerate regulatory and data migration initiatives.
Orchestrate multi-agent AI ecosystems integrating platforms like Jira, Azure, Databricks, Snowflake, and Oracle Exadata, focused on enterprise-scale workflows and data validation.
Strong proficiency in Python programming; experience with Java, Playwright, and Cucumber for automation frameworks.
Familiarity with AI/ML frameworks and tools such as LangChain, LangGraph, Knowledge Graphs, GraphRAG, and Neural Networks.
Work Experience Required: Not explicitly mentioned in the JD.
Work Schedule: Hybrid location requirement in Hyderabad.
Experienced in architecting and delivering complex AI/ML automation solutions in enterprise or financial services environments.
Skilled in building agentic multi-agent systems and integrating diverse cloud and data platforms for intelligent workflow orchestration.
Capable of leveraging advanced AI technologies like Generative AI and LLMs to enhance productivity and automation testing strategies.