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Strong Tier-1 brand, metro location, and attractive senior ML/AI title increase applicant competition.
Role demands finance-specific reconciliation, Exadata and migration expertise, reducing cross-industry transferability.
Multiple mandatory niche technologies and finance-specific reconciliation/migration experience make shortlisting highly strict.
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Build, optimize, and deploy AI/ML-driven automation pipelines primarily using Python to support SQA, Business, and Development teams.
Design and implement multi-agent AI ecosystems and conversational chatbots integrating platforms like Jira, Azure, Databricks, Snowflake, and Oracle Exadata.
Develop intelligent automated solutions for database migration validation and regulatory data reconciliation using Knowledge Graphs, GraphRAG, Neural Networks, and core automation frameworks in Java, Playwright, and Cucumber.
Proficient in Python and Java programming languages.
Experience with AI/ML frameworks and automation tools such as LangChain, LangGraph, Knowledge Graphs, GraphRAG, Playwright, and Cucumber.
Work Experience Required: Not explicitly mentioned in the JD.
Work location: Hybrid role based in Hyderabad.
Strong engineering background with hands-on experience architecting and deploying enterprise-scale AI automation solutions within financial services or related domains.
Experience operating across multiple teams including software quality assurance, business operations, and development, demonstrating ability to translate complex requirements into scalable AI workflows.
Technical proficiency in integrating AI-driven conversational agents and multi-agent systems with cloud and database platforms like Azure, Snowflake, Databricks, and Oracle Exadata.