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职位JPMorgan Chase

AI Sr. Principal Cybersecurity Architect

JPMorgan Chase

AI Sr. Principal Cybersecurity Architect

JPMorgan Chase

Chicago, IL, United States, US

·

On-site

·

Full-time

·

1w ago

Come on board with an iconic financial institution and take your career to the next level. You have found the perfect place to thrive, develop, and make a real difference.

  • As a Senior Principal Cybersecurity Architect at JPMorgan Chase within the Cybersecurity and Technology Controls
  • Consumer & Community Banking (CTC CCB) line of business, you provide deep cybersecurity expertise and work across teams to identify, create, and communicate risk, mitigation options, and solutions. Leverage your deep cross-domain expertise to bring together talent that will consistently create AI-enabled solutions, processes, and reusable proof-of-concept models for cybersecurity while remaining at the forefront of best practices for cybersecurity policy and technological advances.

Job responsibilities

  • Advises and leads the cybersecurity strategy and development of multiple AI-enabled products, applications, and technologies across the CCB portfolio
  • Translates highly complex technical issues, trends, and approaches to leadership to drive the firm’s innovation and enable leaders to make strategic, well-informed decisions about target state architecture
  • Drives the adoption and implementation of new technical methods in cybersecurity in line with the latest product development methodologies
  • Creates durable, reusable cybersecurity frameworks that improve velocity and quality of output across teams and functions
  • Develops architectures that have applicability across businesses and functions
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

  • 10+ years of cybersecurity architecture experience
  • Extensive experience in security assessment, threat modeling, and secure design for cloud-native applications, including Agent-to-Agent and application interactions
  • Strong expertise in A2A (Agent-to-Agent) security, covering certificate management, API security, and service mesh architectures
  • Proficient in working with cloud platforms such as AWS and container orchestration tools like Kubernetes
  • Proficiency in MCP and its application on how it can be used to secure agentic systems
  • Practical experience delivering cybersecurity architecture that can be applied and reused across businesses, functions, and systems
  • Fluent in one or more programming languages or applications
  • Demonstrated prior experience influencing across functions and teams to deliver modern cybersecurity architecture
  • Experience applying expertise and new methods to determine solutions for new and complex cybersecurity problems across various disciplines
  • Extensive practical cloud-native experience
  • Ability to evaluate current and emerging technologies to recommend the best technology solutions or approach to achieve the future state cybersecurity architecture

#CTC

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

3.8

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

3.8

职业发展

3.0

管理层

2.5

65%

推荐给朋友

优点

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

薪资范围

41个数据点

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1份报告

$139,000

年薪总额

基本工资

$107,000

股票

-

奖金

-

$139,000

$139,000

面试经验

5次面试

难度

3.0

/ 5

时长

14-28周

录用率

40%

体验

正面 20%

中性 80%

负面 0%

面试流程

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

常见问题

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study