





Tier-1 brand in metro attracts applicants, but niche generative-AI skillset moderates density.
Finance-specific platforms, regulatory reconciliation, and database migration skills create strong domain-specific background requirements.
Multiple mandatory specialized technologies and domain expertise increase filtering severity.
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Architect and deliver advanced AI automation solutions across SQA, Business, and Development teams leveraging Generative AI, Chatbots, and Agentic workflows.
Develop and maintain multi-agent systems integrating platforms like Jira, Azure, Databricks, Snowflake, Oracle Exadata, and implement AI-driven database migration and regulatory reconciliation solutions.
Build and sustain scalable test automation frameworks using Java, Playwright, and Cucumber to ensure regression suite stability and enhance engineering productivity with AI tools.
Strong proficiency in Python programming; experience with Java, Playwright, Cucumber is required.
Experience with AI/ML frameworks and tools including LangChain, LangGraph, Knowledge Graphs, GraphRAG, Neural Networks.
Work Experience Required: Not explicitly mentioned in the JD.
Work Schedule: Hybrid in Hyderabad location.
Experienced in architecting and deploying AI/ML automation solutions in enterprise-scale technology environments with cross-team collaboration.
Skilled in integrating multiple platforms and data sources through intelligent multi-agent systems and conversational chatbots.
Capable of maintaining robust automation pipelines leveraging both software engineering frameworks and modern AI tools for productivity optimization.