Vice President - Data Science / Applied AI ML

Job summary: As a Vice President – Data Science/Applied AI ML, you will design, build, and deploy next-generation AI solutions for complex compliance and risk management challenges. The ideal candidate combines deep technical expertise in LLMs, GenAI, AI orchestration frameworks, Agentic AI, and analytics with a passion for solving business problems. This role will partner closely with Compliance, Technology, Data, and Product teams to rapidly prototype ideas, develop production-ready solutions, and drive the adoption of AI capabilities across the organization. Job Responsibilities: • Design, develop, and deploy AI-powered solutions leveraging LLMs, Generative AI, Agentic AI, and advanced analytics. • Build proof-of-concepts and rapidly prototype new AI capabilities to validate business value and technical feasibility. • Develop AI agent workflows and orchestration frameworks that integrate models, tools, APIs, and enterprise data sources. • Design and implement MCP-based (Model Context Protocol) integrations to enable secure, scalable access to enterprise data, tools, and business processes. • Design and implement Retrieval-Augmented Generation (RAG), GraphRAG, and Knowledge Graph solutions to improve the accuracy and explainability of AI outputs. • Integrate enterprise LLM platforms and GenAI services into analytical and operational workflows. • Perform data exploration, experimentation, model evaluation, and performance optimization across structured and unstructured datasets. • Develop scalable Python-based applications, services, and APIs supporting AI and analytics use cases. • Create user-interfaces, analytical applications, and self-service solutions that transform AI outputs into actionable insights. • Collaborate with Compliance, Technology, and Business stakeholders to understand requirements and deliver impactful solutions. • Contribute to engineering standards, AI best practices, governance frameworks, and technical mentoring across the team. Required Qualifications and Skills: • Master's degree or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Economics, or a related quantitative discipline from a top-tier university. • 10+ years of experience in AI/ML, Advanced Analytics, or Data Science, with significant recent experience in LLMs, Generative AI, and NLP. • Strong hands-on programming expertise in Python and SQL, including development of production-quality applications and data pipelines. • Deep understanding of LLM architectures, transformers, prompt engineering, model evaluation, and responsible AI practices. • Experience developing solutions using frameworks such as PyTorch, TensorFlow, Hugging Face, or equivalent AI ecosystems. • Hands-on experience building Agentic AI solutions and AI orchestration workflows using frameworks such as LangGraph, LangChain, or equivalent platforms. • Experience implementing Model Context Protocol (MCP) integrations and designing AI systems that securely connect to enterprise tools, data sources, APIs, and business workflows. • Proficiency in designing, building, and querying Knowledge Graphs and graph databases such as Neo4j. • Excellent problem-solving, communication, and collaboration skills. • Familiarity with compliance, risk management, or regulatory processes within financial services is highly desirable. Vice President - Data Science / Applied AI ML