Chase · 1 week ago
Generative AI - Vice President
Chase is revolutionizing the future of data and AI, seeking a Generative AI Vice President to shape firmwide adoption of artificial intelligence. This role involves leading the development of scalable LLM-based products, collaborating with cross-functional teams, and driving innovation in AI/ML strategy.
BankingFinancial Services
Responsibilities
Lead the design and delivery of production architectures for AI and ML products
Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs
Bridge scientific research and software engineering to deliver robust solutions
Collaborate with cloud and SRE teams to optimize system performance
Develop scalable APIs with clear separation of concerns and well-defined interfaces
Foster innovation and continuous improvement across cross-functional teams
Ensure solutions meet business objectives and deliver high Return-on-Investment
Communicate technical concepts effectively to diverse audiences
Align ML product development with organizational goals
Mentor and guide teams of ML engineers and scientists
Champion ethical and sustainable AI practices
Qualification
Required
PhD in Computer Science, Mathematics, Statistics, or related quantitative discipline
Minimum 5 years as an individual contributor in ML engineering
Proven experience working with teams of ML engineers or scientists
Strong foundation in statistics, optimization, and ML theory (NLP and/or Computer Vision)
Hands-on experience with agent based workflows, MCP, RAG and context engineering
Ability to write clear and concise OKRs and align with business expectations
Experience as a responsible owner for ML services in enterprise environments
Excellent grasp of computer science fundamentals and SDLC best practices
Ability to align ML problem definition with business objectives
Strong communication skills for technical and non-technical stakeholders
Demonstrated ability to build trust and foster collaboration
Preferred
Hands-on experience with distributed, multi-threaded, scalable applications (Ray, Horovod, DeepSpeed)
Experience designing and implementing pipelines using DAGs (Kubeflow, DVC, Ray)
Ability to construct batch and streaming microservices with gRPC and/or GraphQL endpoints
Demonstrated expertise in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLMs
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, and Graph-of-Thoughts prompting strategies
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
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