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Lead Cybersecurity Architect, AI/Agentic Security
Agent
Agentic Systems Security
Ai Enabled Security
Ai Security
Cloud Platforms
Cloud Security Architecture
Cyber Security Engineer
Cybersecurity Architecture
Data Security
Identity and Access Management
Information Security
InfoSec
Llm Security
Mcp Integrations
Risk Governance
Risk Management
Security
Security Automation
Software Security
Solution Architecture
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
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