Generative AI - Vice President

Base Pay Range

$/yr - $/yr

Join us as we revolutionize the future of data and AI at our organization. As a Generative AI Vice President in the Chief Data and Analytics Office, you will play a pivotal role in shaping firmwide adoption of artificial intelligence. Collaborate with top talent across cloud, engineering, and research teams to deliver impactful solutions. Your work will directly influence how we build, scale, and optimize advanced AI/ML products.

Be part of a team that values creativity, ethical practices, and continuous growth—where your expertise drives real business outcomes. As a Generative AI Vice President in the Chief Data and Analytics Office, you will lead us in developing scalable LLM‑based products and reusable APIs. You will collaborate with cross‑functional teams to drive innovation and deliver high‑impact solutions. Your role empowers you to shape our AI/ML strategy, optimize performance, and foster a culture of collaboration.

We value your expertise in both technical and business domains, ensuring you have the opportunity to make a significant impact.

• 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

• 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

• Hands‑on experience with distributed, multi‑threaded, scalable applications (Ray, Horovod, Deep Speed)
• Experience designing and implementing pipelines using DAGs (Kubeflow, DVC, Ray)
• Ability to construct batch and streaming microservices with gRPC and/or Graph
  
  QL 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

JPMorgan

Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include…