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Strong Tier‑1 brand but senior, niche AI+Java in regulated finance creates medium competition.
Role demands domain-specific counterparty risk and regulatory experience, making background fit sensitivity high.
Explicit 9–12 years plus mandatory Java, ML-integration, cloud, and regulated finance experience implies high strictness.
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Lead strategy and design for AI integration in critical business workflows within Credit Risk platforms, ensuring reliability, explainability, and compliance.
Develop and enforce AI safety guardrails, validation patterns, and operational frameworks including drift detection to maintain production readiness.
Provide technical leadership and mentorship to engineering teams building AI-augmented, production-grade services in financial domain contexts.
9–12 years of hands-on software engineering experience, with deep expertise in Java and Spring Boot ecosystem.
Experience designing distributed, high-throughput backend services with microservices, REST APIs, event-driven systems, and databases.
Familiarity with AI/ML integration concepts including prompt engineering, model orchestration, drift monitoring, and responsible AI principles.
Location: Pune, India. Work Experience Required: 9–12 years as specified.
Strong background in financial services domains especially counterparty risk or security services with knowledge of regulatory and compliance landscape.
Technical leader capable of influencing cross-functional teams, setting engineering standards, and mentoring senior/mid-level engineers.
Pragmatic approach prioritizing AI reliability, auditability, operational readiness, and business-aligned technical decision making.