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Tier-1 employer plus metro location, but senior specialized role reduces broad applicant density.
Core ML/AI skills transferable, but financial domain and AML/risk specialization increase sensitivity.
Explicit 10+ years, deep generative AI and leadership requirements make filters strict.
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Lead architecture, design, and development of production-grade, scalable Generative AI applications and agentic solutions.
Define and own the technical roadmap for AI platforms including key decisions on architecture and technology stacks.
Drive AI business process strategy focusing on advanced agent architecture, memory management, hallucination control, reinforcement learning, and ensure compliance, security, and MLOps best practices.
10+ years of work experience in a quantitative field, preferably Financial/Credit Card industry.
Bachelor's degree required; Master's degree highly preferred in Computer Science, AI, Engineering, or related quantitative field.
Proficiency in Python, machine learning, deep learning algorithms, and Generative AI technologies such as Prompt Engineering, RAG, Langgraph, Langchain frameworks.
Experience with large complex data sets, data manipulation tools (SQL, Hive, PySpark), and strong analytical/statistical foundations.
Experienced leader capable of mentoring and managing teams of data scientists and driving strategic AI initiatives.
Strong strategic thinker with ability to identify emerging AI trends, challenge status quo, and set ambitious business goals.
Skilled communicator adept at translating complex technical concepts for senior business stakeholders and collaborating cross-functionally.