JPMorganChase · 7 hours ago
Senior Principal Architect - Artificial Intelligence
Jersey City, NJ
Full-time
Onsite
Senior Level, Lead/Staff
$233K/yr - $325K/yr
10+ years expJPMorgan Chase is one of the oldest financial institutions, and they are seeking a Senior Principal Architect - Artificial Intelligence for their Global Technology’s Enterprise Architecture team. The role involves shaping and leading the adoption of the firm’s AI Architecture Domain, providing specialized expertise, and collaborating across teams to drive domain strategies.
Asset ManagementBankingFinancial Services
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
Qualification
Required
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
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
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
JPMorganChase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
10001+ employees
H1B Sponsorship
JPMorganChase has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (2855)
2024 (3469)
2023 (3395)
2022 (3594)
2021 (2515)
2020 (2495)
Funding
Current Stage
Public CompanyTotal Funding
unknown1998-02-01IPO
Leadership Team
Allison Beer
CEO of Card Services and Connected Commerce
Dan Mendelson
CEO, Morgan Health
Recent News
2025-12-19
2025-12-12
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