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Tier-1 employer and hybrid model increase applicant density despite AI QA specialization.
Role requires AI validation and financial compliance experience, limiting cross-industry transferability.
Specialized AI/model validation and financial compliance requirements enforce strict technical and domain filters.
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Lead the quality assurance strategy, validation activities, and governance for AI-enabled products and platforms.
Partner with Engineering, Data Science, Product Management, Cybersecurity, Legal, Risk, and business teams to ensure AI solutions meet accuracy, reliability, security, compliance, and business expectations.
Develop AI quality roadmaps, testing frameworks, and lead validation activities covering AI models, data pipelines, automation, and user-facing AI capabilities.
Experience in Quality Engineering, Software Testing, SDET, or Quality Assurance (exact years not specified).
Strong knowledge of AI concepts, machine learning fundamentals, and practical experience validating AI/ML models or Generative AI applications.
Skills in automated testing frameworks, API testing, model evaluation, AI governance controls, and compliance requirements.
Primary work location is Trivandrum with a hybrid or remote work model.
Experienced in leading AI quality assurance initiatives with moderate complexity and organizational impact within cross-functional teams.
Capable of designing and improving AI testing processes for effectiveness, efficiency, and governance in a financial technology context.
Comfortable translating complex technical topics for diverse audiences, contributing to AI quality strategy aligned to business outcomes.