J.P. Morgan
Senior Principal Architect - Artificial Intelligence
J.P. Morgan, Jersey City, New Jersey, United States, 07390
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Senior Principal Architect - Artificial Intelligence at JPMorgan Chase on Global Technology’s Enterprise Architecture team, you will help shape, lead adoption, and operate the firm’s Artificial Intelligence Architecture Domain.
You will provide specialized expertise to influence the target state architecture and strategy of the domain, and work across teams to educate and build consensus to drive domain strategies. You will lead the AI domain’s architecture review boards in evaluating, adjudicating, onboarding, and adopting technologies to be used by development teams to compose their business systems. You will advise, inform, and assist on decisions about the strategy, roadmaps, operationalization, and productization of those technologies that will be scaled and made available firmwide.
Responsibilities
Advise and influence portfolio owners and operate architecture review boards on developing and maintaining AI tools across a large enterprise, including selection, integration, and retirement; includes stakeholders of varying degrees of technical or business orientation
Serve as a subject matter expert on AI at JPMC, with special emphasis on delivering technology capabilities and managing sprawl in priority areas such as AI Applications, Generative AI, AI Infrastructure Development
Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s AI technology strategy and enable leaders and technology requestors from solution teams to make strategic, well-informed decisions about target state offerings and solution architecture
Collaborate with peers from other domain portfolios to drive improvement in rationalization practices in Global Technology
Evaluate emerging AI technologies, platforms, and tools for fit, scalability, and risk; may include proof-of-concept initiatives and technology assessments
Develop and maintain a strategic roadmap for AI technology components aligned with business objectives
Design scalable, secure, and robust AI architectures (including data pipelines, model deployment, monitoring, and governance)
Establish architectural standards, best practices, and governance frameworks for AI solutions
Identify and mitigate risks related to AI (e.g., data privacy, model bias, regulatory compliance), and ensure AI solutions adhere to internal and external compliance requirements
Monitor and optimize the performance, scalability, and cost-effectiveness of AI solutions and SaaS providers
Required qualifications, skills and capabilities
Formal training or certification on software engineering concepts and 10+ years applied experience
Bachelor's or master's degree in computer science, data science, artificial intelligence, engineering, mathematics, or a related field, or equivalent experience of hands‑on experience in AI system design, application development, model development, deployment, testing, and operational stability. Proven experience influencing across functions and teams to deliver modern architecture
Experience with AI agentic architectures, prompt design, and context engineering
Deep technical expertise and hands‑on experience in the AI/ML domain, including relevant platforms, tools, and regulatory frameworks such as TensorFlow, PyTorch, MLOps, Responsible AI, GDPR, CCPA, and AI Act.
Demonstrable skills in AI/ML concepts, algorithms, frameworks, software architecture, and engineering principles
Expertise in architecture and design for AI systems, machine learning applications, data pipelines, infrastructure, and SaaS-based AI/ML architectures, including data and process integration; Advanced knowledge of AI/ML model development, software architecture, technical processes, system engineering principles, cloud AI platforms, and Infrastructure-as-Code for cloud-based workloads
Experience leading AI architecture strategy, governance, standards development, and managing technology portfolios or cross‑functional technology initiatives; Proven track record in designing and deploying enterprise-scale AI solutions
Demonstrated ability to translate business problems into practicable AI solutions using structured, user-centered, and iterative approaches grounded in system engineering
Exceptional communication skills with the ability to inform and persuade senior leaders and executives on AI strategy and adoption
Experience collaborating with cross‑functional teams, including data scientists, engineers, product managers, and business stakeholders, and building effective relationships to drive solution development; Knowledge of deployment strategies for both open-source and managed models including expertise in material and immaterial model governance
Preferred Qualifications, Skills, and Expertise
Advanced certifications in AI/ML, cloud architecture, or enterprise architecture (such as TOGAF or AWS Certified Solutions Architect) are preferred
Experience driving change and adoption of new technologies within large organizations preferred
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As a Senior Principal Architect - Artificial Intelligence at JPMorgan Chase on Global Technology’s Enterprise Architecture team, you will help shape, lead adoption, and operate the firm’s Artificial Intelligence Architecture Domain.
You will provide specialized expertise to influence the target state architecture and strategy of the domain, and work across teams to educate and build consensus to drive domain strategies. You will lead the AI domain’s architecture review boards in evaluating, adjudicating, onboarding, and adopting technologies to be used by development teams to compose their business systems. You will advise, inform, and assist on decisions about the strategy, roadmaps, operationalization, and productization of those technologies that will be scaled and made available firmwide.
Responsibilities
Advise and influence portfolio owners and operate architecture review boards on developing and maintaining AI tools across a large enterprise, including selection, integration, and retirement; includes stakeholders of varying degrees of technical or business orientation
Serve as a subject matter expert on AI at JPMC, with special emphasis on delivering technology capabilities and managing sprawl in priority areas such as AI Applications, Generative AI, AI Infrastructure Development
Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s AI technology strategy and enable leaders and technology requestors from solution teams to make strategic, well-informed decisions about target state offerings and solution architecture
Collaborate with peers from other domain portfolios to drive improvement in rationalization practices in Global Technology
Evaluate emerging AI technologies, platforms, and tools for fit, scalability, and risk; may include proof-of-concept initiatives and technology assessments
Develop and maintain a strategic roadmap for AI technology components aligned with business objectives
Design scalable, secure, and robust AI architectures (including data pipelines, model deployment, monitoring, and governance)
Establish architectural standards, best practices, and governance frameworks for AI solutions
Identify and mitigate risks related to AI (e.g., data privacy, model bias, regulatory compliance), and ensure AI solutions adhere to internal and external compliance requirements
Monitor and optimize the performance, scalability, and cost-effectiveness of AI solutions and SaaS providers
Required qualifications, skills and capabilities
Formal training or certification on software engineering concepts and 10+ years applied experience
Bachelor's or master's degree in computer science, data science, artificial intelligence, engineering, mathematics, or a related field, or equivalent experience of hands‑on experience in AI system design, application development, model development, deployment, testing, and operational stability. Proven experience influencing across functions and teams to deliver modern architecture
Experience with AI agentic architectures, prompt design, and context engineering
Deep technical expertise and hands‑on experience in the AI/ML domain, including relevant platforms, tools, and regulatory frameworks such as TensorFlow, PyTorch, MLOps, Responsible AI, GDPR, CCPA, and AI Act.
Demonstrable skills in AI/ML concepts, algorithms, frameworks, software architecture, and engineering principles
Expertise in architecture and design for AI systems, machine learning applications, data pipelines, infrastructure, and SaaS-based AI/ML architectures, including data and process integration; Advanced knowledge of AI/ML model development, software architecture, technical processes, system engineering principles, cloud AI platforms, and Infrastructure-as-Code for cloud-based workloads
Experience leading AI architecture strategy, governance, standards development, and managing technology portfolios or cross‑functional technology initiatives; Proven track record in designing and deploying enterprise-scale AI solutions
Demonstrated ability to translate business problems into practicable AI solutions using structured, user-centered, and iterative approaches grounded in system engineering
Exceptional communication skills with the ability to inform and persuade senior leaders and executives on AI strategy and adoption
Experience collaborating with cross‑functional teams, including data scientists, engineers, product managers, and business stakeholders, and building effective relationships to drive solution development; Knowledge of deployment strategies for both open-source and managed models including expertise in material and immaterial model governance
Preferred Qualifications, Skills, and Expertise
Advanced certifications in AI/ML, cloud architecture, or enterprise architecture (such as TOGAF or AWS Certified Solutions Architect) are preferred
Experience driving change and adoption of new technologies within large organizations preferred
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