J.P. Morgan
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.
Job 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
Required Qualifications, Capabilities, and Skills
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 Qualifications, Capabilities, and Skills
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
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 comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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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.
Job 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
Required Qualifications, Capabilities, and Skills
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 Qualifications, Capabilities, and Skills
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
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 comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
#J-18808-Ljbffr