Job description

Step into the role of a Principal Architect at JPMorganChase and become a driving force behind the development and adoption of cutting-edge, cloud-based technologies that power the firm's most critical AI and platform capabilities. As a Principal Architect at JPMorganChase within the Enterprise Technology( Core Foundational Platforms) team, you provide deep expertise to enhance and evolve architecture platforms built on modern cloud-based technologies, while supporting the adoption of strategic global solutions at scale. You define the foundational platform architecture that underpins the firm's AI capabilities — ensuring they are abstracted, portable, and resilient enough to serve AI workloads wherever they run. Leveraging your advanced architecture capabilities, you collaborate with colleagues across the organization to translate AI ambitions into durable platform designs, so that model training, fine-tuning, and inference rest on consistent, well-governed data and compute foundations. In this role, you drive best-in-class outcomes by bridging technical vision with engineering execution across a globally distributed organization. Job Responsibilities • Advise cross-functional teams on technology selection, architectural abstractions, and integration patterns to achieve target-state architecture and drive continuous improvement across current technologies • Define and document foundational platform architecture for neocloud, on-premises, and appliance-based environments, capturing target-state designs, trade-offs, and standardized deployment patterns • Ensure platform alignment with the firm's firmwide control plane architecture, including abstraction of database and other services to enable deployment on-premises, in neoclouds, at the edge, or in high-risk locations • Shepherd designs through all architectural review gates — permit to plan, permit to build, permit to deploy, and permit to operate — ensuring each checkpoint's evidence and approvals are satisfied before progressing • Develop and maintain multi-year architecture roadmaps aligned with business strategy, AI platform priorities, and engineering capacity • Specify new architectural patterns where necessary to enable emerging AI capabilities, and establish reuse-first, AI-enabled engineering patterns and governance across the software development lifecycle • Apply enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis, roadmap development, and design decisioning, with human-in-the-loop validation and appropriate handling of sensitive data • Develop secure, high-quality production code and review and debug code written by others, ensuring compliance with architecture standards and firm controls • Ensure engineering alignment with architectural direction through structured reviews, design feedback, and prioritization of engineering tasks required to achieve architectural imperatives • Document proper integration with firmwide services — including identity and access management — while satisfying all necessary security and compliance controls • Serve as the team's go-to subject matter expert and contribute to the development of technical methods in specialized fields, in line with the latest product development methodologies Required qualifications, capabilities, and skills • Formal training or certification on architecture concepts and 10+ years applied experience • Hands-on practical experience delivering system design, application development, testing, and operational stability across complex, large-scale environments • Expertise in one or more programming languages with a strong foundation in writing, reviewing, and debugging production-grade code • Deep knowledge of software, applications, and architecture, including advanced software architecture, application development, and technical processes within one or more disciplines such as cloud, artificial intelligence, machine learning, or mobile • Demonstrated experience applying enterprise-authorized AI capabilities within architecture and engineering workflows, with strong validation habits and awareness of data sensitivity • Ability to evaluate and integrate AI-enabled capabilities into scalable platforms while meeting resiliency, security, and auditability requirements • Experience applying expertise and new methods to determine solutions for complex architecture problems across one or more technical disciplines • Experience leading a product as a product owner or product manager, with the ability to align technical direction to business outcomes • Ability to present and effectively communicate complex architectural concepts to senior leaders and executives Preferred qualifications, capabilities, and skills • Formal training or certification in enterprise, solution, or software architecture — such as TOGAF, The Open Group Certified Architect (Open CA), SEI/Carnegie Mellon software architecture, or an equivalent cloud provider Professional or Expert Architect certification from AWS, Azure, or Google Cloud • Experience designing and operating AI/ML platform infrastructure, including model training, fine-tuning, and inference workloads across hybrid and multi-cloud environments • Familiarity with edge computing, high-risk deployment environments, or regulated infrastructure patterns • Experience establishing architectural governance frameworks, including design review processes, pattern libraries, and engineering standards at an enterprise scale • Background in platform engineering or developer experience tooling, with a focus on enabling engineering velocity through reusable, well-governed foundations Drive the future of cloud-native platform architecture — where AI ambitions meet durable, scalable, and resilient foundations.

Requirements

Must-haves

Advise cross-functional teams on technology selection, architectural abstractions, and integration patterns to achieve target-state architecture and drive continuous improvement across current technologies
Define and document foundational platform architecture for neocloud, on-premises, and appliance-based environments, capturing target-state designs, trade-offs, and standardized deployment patterns
Ensure platform alignment with the firm's firmwide control plane architecture, including abstraction of database and other services to enable deployment on-premises, in neoclouds, at the edge, or in high-risk locations
Shepherd designs through all architectural review gates — permit to plan, permit to build, permit to deploy, and permit to operate — ensuring each checkpoint's evidence and approvals are satisfied before progressing
Develop and maintain multi-year architecture roadmaps aligned with business strategy, AI platform priorities, and engineering capacity
Specify new architectural patterns where necessary to enable emerging AI capabilities, and establish reuse-first, AI-enabled engineering patterns and governance across the software development lifecycle
Develop secure, high-quality production code and review and debug code written by others, ensuring compliance with architecture standards and firm controls
Ensure engineering alignment with architectural direction through structured reviews, design feedback, and prioritization of engineering tasks required to achieve architectural imperatives
Document proper integration with firmwide services — including identity and access management — while satisfying all necessary security and compliance controls
Serve as the team's go-to subject matter expert and contribute to the development of technical methods in specialized fields, in line with the latest product development methodologies
Required qualifications, capabilities, and skills
Formal training or certification on architecture concepts and 10+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability across complex, large-scale environments
Expertise in one or more programming languages with a strong foundation in writing, reviewing, and debugging production-grade code
Demonstrated experience applying enterprise-authorized AI capabilities within architecture and engineering workflows, with strong validation habits and awareness of data sensitivity
Ability to evaluate and integrate AI-enabled capabilities into scalable platforms while meeting resiliency, security, and auditability requirements
Experience applying expertise and new methods to determine solutions for complex architecture problems across one or more technical disciplines
Experience leading a product as a product owner or product manager, with the ability to align technical direction to business outcomes
Ability to present and effectively communicate complex architectural concepts to senior leaders and executives
Experience designing and operating AI/ML platform infrastructure, including model training, fine-tuning, and inference workloads across hybrid and multi-cloud environments
Familiarity with edge computing, high-risk deployment environments, or regulated infrastructure patterns
Experience establishing architectural governance frameworks, including design review processes, pattern libraries, and engineering standards at an enterprise scale
Background in platform engineering or developer experience tooling, with a focus on enabling engineering velocity through reusable, well-governed foundations

Nice-to-haves

Preferred qualifications, capabilities, and skills

Application prep

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Keywords to mirror

airestgomachine learningawsazureml

Platform: oracle-cloud
Effort: medium

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