Lead Cybersecurity Architect, AI/Agentic Security

Cybersecurity Jobs; Chicago (IL); On-site; USD 138,000 - 185,000; Full time

Benefits offered by this job

Health coverage

On-site health centers

Retirement plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase is seeking a Lead Cybersecurity Architect focused on AI and agentic security, onsite in Chicago, IL. The role aims to shape architecture for cloud-based technologies with emphasis on AI/ML security and agentic systems.

The incumbent will define a target state, govern reference architectures, and align stakeholders around risk. You will advance secure software development using firmwide AI/ML tools to strengthen threat assessment and overall security posture.

Qualifications

• 5+ years of cybersecurity architectural experience in enterprise settings.
• Advanced proficiency in programming languages.
• Hands-on experience coding and using AI/ML and agents to improve security assessments.
• Demonstrated ownership of Security Design Reviews (SDRs), security requirements, and architecture governance for large-scale platforms.
• Proven threat modeling expertise and risk mitigation for AI/ML threats.
• Strong depth across cloud and application security, including IAM/least privilege, encryption, secrets, and network segmentation.
• Experience securing agentic AI systems and MCP-based tool/data connectivity, with guardrails.
• Proficiency across the Software Development Life Cycle (SDLC/CI/CD).
• Knowledge of financial services IT environments and communicating with senior leaders.
• Ability to evaluate current and emerging technologies for future-state architecture.

Responsibilities

• Partner with technical teams and business stakeholders to discuss and propose technical approaches for current and future cybersecurity needs.
• Define the technical target state for a cybersecurity product and drive execution of the strategy.
• Develop software and leverage AI/ML tools to enhance, automate, and improve secure design and threat assessment processes.
• Own and drive SDRs for AI/ML platforms, agentic systems, and MCP integrations, including documentation and risk considerations.
• Define and govern secure reference architectures for agentic systems and MCP-enabled workflows, including isolation, segmentation, encryption, and identity management.
• Set 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, mitigating risks such as prompt injection and data leakage.

Skills

Cybersecurity architecture

Programming languages

AI/ML and agents

Threat modeling

Cloud security

IAM/least privilege

Secure SDLC/CI-CD

Senior stakeholder communication

Tools

MCP integrations

LLM Suite integrations

Job description

JPMorgan Chase is seeking a Lead Cybersecurity Architect focused on AI and agentic security within Cybersecurity Technology & Controls. In this onsite role in Chicago, IL, you will serve as a core technical contributor to shape cybersecurity architecture solutions for cloud-based technologies, with particular emphasis on agentic systems, MCP-enabled workflows, and AI/ML security processes.

The role centers on defining a target state for secure design, establishing governance for reference architectures, and aligning technical and business stakeholders around risk mitigation. You will also help advance secure software development using firmwide AI/ML tools to improve threat assessment and the overall security posture of AI-enabled platforms.

Key Responsibilities

• Partner with technical teams and business stakeholders to discuss and propose technical approaches for current and future cybersecurity needs.
• Define the technical target state for a cybersecurity product and drive execution of the strategy.
• Develop software and leverage firmwide AI/ML tools to enhance, automate, and improve secure design and threat assessment processes.
• Own and drive SDRs for AI/ML platforms, agentic systems, and MCP integrations, including documentation of decisions, required controls, and risk acceptances.
• Define and govern secure reference architectures for agentic systems and MCP-enabled workflows, including isolation, segmentation, encryption, and identity management.
• Set 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, mitigating risks such as prompt injection, data leakage, and supply chain threats.

Required Qualifications

• 5+ years of cybersecurity architectural knowledge with hands-on experience delivering enterprise-level solutions and controls.
• Advanced proficiency in one or more programming languages.
• Hands-on experience coding and using AI/ML and agents to improve security assessments, including willingness to work on POCs for new ideas.
• Demonstrated ownership of Security Design Reviews (SDRs), security requirements, and architecture governance for large-scale platforms.
• Proven threat modeling expertise and risk mitigation for AI/ML threats such as prompt injection, data poisoning, model extraction/inversion, training data leakage, and third-party or supply-chain exposure.
• Strong practical depth across cloud and application security, including IAM/least privilege, encryption and 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 or data connectivity (or similar protocols), with ability to establish guardrails for tool access, data handling, and runtime controls.
• Proficiency across the Software Development Life Cycle.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (for example, public cloud, artificial intelligence, machine learning, mobile).
• In-depth knowledge of the financial services industry, including IT systems, plus experience communicating with senior leaders.
• Ability to evaluate current and emerging technologies and recommend best-fit future-state architecture.

Technology Focus

• AI/ML, agentic systems, MCP integrations, LLM Suite integrations
• Programming languages
• IAM/least privilege, encryption, key management, secrets
• Network segmentation, secure APIs, logging/monitoring
• Secure SDLC/CI/CD, public cloud
• SDRs, Security Design Reviews

Compensation and Benefits

• Base salary: USD 137,750 to 185,000 per year (determined based on role, experience, skill set, and location)
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid as cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching