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Tier-1 brand and broad full-stack/AI skillset increase applicant density despite seniority.
High because role requires credit-risk domain context, Agentic AI/ML expertise, Big Data platform and JVM internals.
High because the JD mandates 10+ years plus mandatory ML/Big Data, Java, cloud, and platform skills.
Lead design and development of scalable, intelligent software systems focused on Agentic AI, Machine Learning, Big Data, and BI within Credit Risk Technology.
Provide technical leadership and mentoring to software engineers, improving engineering standards, code quality, and adoption of AI-assisted development tools like Git Copilot and Devin AI.
Drive technology adoption and architectural decisions aligned with Citi's guidelines to support credit risk management software solutions for limit monitoring, exception management, and stress testing.
10+ years of full-stack software development experience with Object Oriented Design principles.
Hands-on expertise in Java/J2EE, Web technologies (HTML, CSS, React JS), REST APIs, Big Data platforms, and cloud platforms (AWS, Azure, or Google Cloud).
Graduate degree in STEM discipline; Master's degree in Data Science or AI/ML is advantageous but not mandatory.
Work Experience Required: 10+ years in software development; Notice Period: Not explicitly mentioned in the JD.
Proven technical leader with deep experience building large-scale, high-performance credit risk applications incorporating AI/ML and Big Data technologies.
Strong background in integrating and optimizing AI-assisted coding tools and advanced ML frameworks within agile, global software engineering teams.
Experienced in architecting and deploying Agentic AI systems including autonomous decision-making and adaptive learning in financial domain risk models.