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Tier-1 brand, metro location, and sought-after GenAI skills create moderate applicant competition.
Specialized generative AI expertise and banking MRM/Fair Lending constraints make cross-industry transfer limited.
Explicit 8+ years and domain-specific GenAI plus banking MRM and Fair Lending requirements enforce strict filters.
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Design, develop, and deploy generative AI and machine learning models specifically for fraud prevention and operations automation, including RAG frameworks and conversational AI.
Lead technical efforts in model research, optimization, and deployment while collaborating across teams to translate business needs into AI solutions.
Mentor and coach junior team members, ensure compliance with Model Risk Management and Fair Lending guidelines, and communicate project progress to stakeholders.
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field; Ph.D. is a plus.
8+ years of experience in machine learning and deep learning focused on generative AI solution design and deployment.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience with RAG frameworks, prompt engineering, agentic AI, NLP/NLG, and working within banking or financial services domain.
Demonstrated technical leadership in building and operating generative AI systems at scale within fraud prevention or financial operations contexts.
Strong expertise in designing custom AI solutions using advanced frameworks like RAG, with focus on automation and robustness.
Experience navigating compliance requirements such as Model Risk Management and Fair Lending in AI-powered applications.