Back
Strong Tier-1 brand, metro location, and broad multi-skill requirements increase applicant competition.
Role requires finance-specific platforms and regulatory reconciliation expertise, making industry background highly relevant.
Many mandatory technical skills and financial/regulatory environment imply strict technical and domain filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Architect and deliver advanced AI/ML automation solutions for SQA, Business, and Development teams using Python and frameworks like LangChain and LangGraph.
Build and maintain multi-agent AI systems, conversational chatbots, and intelligent workflows integrating tools such as Jira, Azure, Databricks, Snowflake, and Oracle Exadata.
Develop automated validation and reconciliation solutions for data migrations and regulatory reporting using Neural Networks, Knowledge Graphs, and GraphRAG, alongside maintaining test frameworks with Java, Playwright, and Cucumber.
Strong proficiency in Python programming; proficiency in Java also required.
Experience with AI/ML frameworks including LangChain, LangGraph, Knowledge Graphs, GraphRAG, and Neural Networks.
Experience with automation tools such as Playwright and Cucumber.
Work Experience Required: Not explicitly mentioned in the JD
Experienced in designing and implementing AI-driven automation workflows across multiple enterprise teams and data platforms.
Skilled in building scalable agentic ecosystems and intelligent solutions integrating cloud and database technologies (Azure, Databricks, Snowflake, Oracle Exadata).
Able to leverage Generative AI and advanced retriever-augmented mechanisms to accelerate complex financial services technology initiatives.