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Tier-1 bank role attracts applicants, but specialized GenAI and banking compliance requirements narrow the qualified pool.
High — requires deep GenAI/ML skills plus banking-specific model risk and Fair Lending domain knowledge, limiting transferability.
High due to explicit 7+ years, mandatory GenAI/ML stack, RAG/agentic skills, deployment experience and banking MRM requirements.
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Design, develop, and deploy generative AI and machine learning models specifically for Fraud Operations and operational automation including RAG frameworks, conversational AI, and multi-agent systems.
Collaborate with cross-functional teams to translate business requirements into AI solutions, optimize model performance, and maintain AI pipelines for production deployment.
Mentor junior team members, conduct research on generative modeling advancements, and ensure compliance with Model Risk Management and Fair Lending guidelines for LLM-based solutions.
Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field; Ph.D. is a plus.
Minimum 7 years of experience in machine learning and deep learning with a focus on generative AI solution design and deployment.
Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras) and experience with NLP/NLG technologies, Prompt Engineering, building agentic AI/AI Agents, and API/MCPs for large-scale banking automations.
Strong understanding of Model Risk Management (MRM) and Fair Lending (FL) guidelines relevant to LLM-based solutions.
Experienced senior engineer comfortable leading AI projects impacting fraud and operations in banking domain with deep understanding of generative AI, RAG frameworks, and advanced NLP techniques.
Demonstrates strong technical leadership through mentoring and delivering scalable, production-grade AI/ML solutions aligned with business objectives.
Able to liaise effectively with non-technical stakeholders to explain complex AI concepts and maintain compliance with regulatory guidelines in model risk management.