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Lead Cybersecurity Architect

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 3 days ago

No clicks

**Lead Cybersecurity Architect - JPMorgan Chase** - Leads cybersecurity architecture for modern cloud-based software apps. - Engages teams, defines technical targets, and drives secure reference architectures. - Utilizes AI/ML tools to enhance security, owns Security Design Reviews (SDRs). - Requires 5+ years of cybersecurity architecture experience, advanced programming skills. - Proficient in AI/ML risks mitigation, cloud and app security, and SDLC. - Experience in financial services industry and ability to communicate with senior leaders.

Compensation
Not specified

Currency: Not specified

City
Chicago
Country
United States

Full Job Description

Location: Chicago, IL, United States

Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry.
 

As a Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity Technology & Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical cybersecurity architecture solutions by identifying, creating, and communicating risk, mitigation options, and solutions across multiple technical areas within various business functions in support of project goals.

 

Job responsibilities

  • Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future cybersecurity needs
  • Defines the technical target state of their cybersecurity product and drives achievement of the strategy
  • Develop software, use firmwide AI/ML tools to enhance, automate, improve secure design and threat assessment processes. 
  • Own and drive SDRs for AI/ML platforms, agentic systems, and MCP integrations; document decisions, required controls, and risk acceptances
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.
  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Define and govern secure reference architectures for agentic systems and MCP-enabled workflows, including isolation, segmentation, encryption, and identity management
  • Define security requirements for authentication, authorization, data classification, and encrypted communications for MCP servers and agentic workflows
  • Conduct and maintain threat models for agentic systems, MCP servers, and LLM Suite integrations, identifying and mitigating risks such as prompt injection, data leakage, and supply chain threats

     

Required qualifications, capabilities, and skill

  • Obtain 5+ years of cybersecurity architectural knowledge with hands-on practical experience delivering enterprise-level solutions and controls
  • Advanced in one or more programming languages 
  • Hands on experience in coding and use AI / ML, agents to improve security assessments. Willing to work on POC on new innovative ideas
  • Demonstrate ownership of Security Design Reviews (SDRs), security requirements, and architecture governance for large-scale platforms.
  • Proven expertise in threat modeling and mitigating AI/ML risks such as prompt injection, data poisoning, model extraction/inversion, training data leakage, and thirdparty/supplychain exposure.
  • Strong hands-on technical depth across cloud and application security: IAM/least privilege, encryption & key management, secrets, network segmentation, secure APIs, logging/monitoring, and secure SDLC/CI/CD.
  • Experience securing agentic AI systems and tool integrations (including MCP-based tool/data connectivity or similar protocols), with the ability to set guardrails for tool access, data handling, and runtime controls.
  • Proficiency in all aspects of the Software Development Life Cycle 
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)   
  • In-depth knowledge of the financial services industry along with their IT systems and  experience communicating with senior leaders
  • Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture

 

#CTC

Cybersecurity architect responsible for performing AI/ML security architecture reviews, Security Design Reviews (SDRs), and leading threat modeling across AI/ML platforms, data pipelines, and model lifecycle. Partners with engineering, product, and risk stakeholders to establish secure reference architectures, security requirements, and control patterns; identify and mitigate design-time and runtime threats (e.g., data poisoning, prompt injection, model misuse, supply chain risks); and drive remediation through actionable architecture decisions. Ensures solutions align with enterprise security standards, regulatory expectations, and resiliency objectives while enabling scalable, secure AI/ML delivery

Lead Cybersecurity Architect

Compensation

Not specified

City: Chicago

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

3 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Lead Cybersecurity Architect - JPMorgan Chase** - Leads cybersecurity architecture for modern cloud-based software apps. - Engages teams, defines technical targets, and drives secure reference architectures. - Utilizes AI/ML tools to enhance security, owns Security Design Reviews (SDRs). - Requires 5+ years of cybersecurity architecture experience, advanced programming skills. - Proficient in AI/ML risks mitigation, cloud and app security, and SDLC. - Experience in financial services industry and ability to communicate with senior leaders.

Full Job Description

Location: Chicago, IL, United States

Join one of the world's most influential companies and leverage your skills in cybersecurity to have a real impact on the financial industry.
 

As a Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity Technology & Controls, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications on modern cloud-based technologies. As a core technical contributor, you are responsible for carrying out critical cybersecurity architecture solutions by identifying, creating, and communicating risk, mitigation options, and solutions across multiple technical areas within various business functions in support of project goals.

 

Job responsibilities

  • Engages technical teams and business stakeholders to discuss and propose technical approaches to meet current and future cybersecurity needs
  • Defines the technical target state of their cybersecurity product and drives achievement of the strategy
  • Develop software, use firmwide AI/ML tools to enhance, automate, improve secure design and threat assessment processes. 
  • Own and drive SDRs for AI/ML platforms, agentic systems, and MCP integrations; document decisions, required controls, and risk acceptances
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support cybersecurity architecture workflows with strong validation habits and awareness of data sensitivity.
  • Ability to assess and validate AI-assisted security recommendations before adoption, escalating uncertainty and ensuring outcomes align to security, resiliency, and auditability expectations.
  • Define and govern secure reference architectures for agentic systems and MCP-enabled workflows, including isolation, segmentation, encryption, and identity management
  • Define security requirements for authentication, authorization, data classification, and encrypted communications for MCP servers and agentic workflows
  • Conduct and maintain threat models for agentic systems, MCP servers, and LLM Suite integrations, identifying and mitigating risks such as prompt injection, data leakage, and supply chain threats

     

Required qualifications, capabilities, and skill

  • Obtain 5+ years of cybersecurity architectural knowledge with hands-on practical experience delivering enterprise-level solutions and controls
  • Advanced in one or more programming languages 
  • Hands on experience in coding and use AI / ML, agents to improve security assessments. Willing to work on POC on new innovative ideas
  • Demonstrate ownership of Security Design Reviews (SDRs), security requirements, and architecture governance for large-scale platforms.
  • Proven expertise in threat modeling and mitigating AI/ML risks such as prompt injection, data poisoning, model extraction/inversion, training data leakage, and thirdparty/supplychain exposure.
  • Strong hands-on technical depth across cloud and application security: IAM/least privilege, encryption & key management, secrets, network segmentation, secure APIs, logging/monitoring, and secure SDLC/CI/CD.
  • Experience securing agentic AI systems and tool integrations (including MCP-based tool/data connectivity or similar protocols), with the ability to set guardrails for tool access, data handling, and runtime controls.
  • Proficiency in all aspects of the Software Development Life Cycle 
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)   
  • In-depth knowledge of the financial services industry along with their IT systems and  experience communicating with senior leaders
  • Ability to evaluate current and emerging technologies to recommend the best solutions for the future state architecture

 

#CTC

Cybersecurity architect responsible for performing AI/ML security architecture reviews, Security Design Reviews (SDRs), and leading threat modeling across AI/ML platforms, data pipelines, and model lifecycle. Partners with engineering, product, and risk stakeholders to establish secure reference architectures, security requirements, and control patterns; identify and mitigate design-time and runtime threats (e.g., data poisoning, prompt injection, model misuse, supply chain risks); and drive remediation through actionable architecture decisions. Ensures solutions align with enterprise security standards, regulatory expectations, and resiliency objectives while enabling scalable, secure AI/ML delivery