Principal Information Security Risk Management - AI

Responsibilities

• Provide independent challenge and oversight of GenAI and agentic AI systems across design, deployment, and operation
• Define and maintain AI security policies, standards, and control requirements for LLMs, prompt-based systems, and autonomous agents
• Perform control validation and effectiveness testing across:
• Prompt handling and injection resistance
• Model outputs and hallucination risk controls
• Agent autonomy, decision boundaries, and tool use
• Data access, grounding, and retrieval-augmented generation (RAG) pipelines
• Assess and challenge risks related to:
• Prompt injection and jailbreak attacks
• Data leakage through prompts, outputs, or embeddings
• Model misuse, abuse, and unintended actions by agents
• Third-party models such as MCP, APIs, and supply chain dependencies
• Deliver risk-based reporting and insights on GenAI/agentic risks, control gaps, and systemic weaknesses
• Provide oversight of AI platforms, orchestration frameworks, and tooling to ensure secure configuration and governance
• Partner with First Line teams, Risk, Compliance, Legal, and Audit to ensure alignment with internal policies and emerging regulatory expectations
• Support regulatory exams and internal audits as the AI Security Second Line SME

Requirements

• Typically, 15+ years of progressive IT experience with 8+ years in Information Security
• Experience securing GenAI, LLM-based systems, or AI-driven platforms
• Strong understanding of:
• LLM architectures, prompt engineering, and RAG patterns
• Agentic AI systems, orchestration frameworks, and tool integrations
• Common GenAI risks (prompt injection, data exfiltration, hallucinations, model misuse)
• Experience operating in a Three Lines of Defense model and/or regulated environment (financial services preferred)
• Ability to translate complex technical risks into business impact and executive-level insights
• Experience in fintech or highly regulated industries
• Familiarity with frameworks such as NIST AI RMF, ISO/IEC 42001, and emerging GenAI guidance
• Understanding of secure AI development practices and model governance
• Background in risk management, audit, or control validation
• Background and drug screen
• The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.
• Physical Requirements
• Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.
• The base pay scale for this position in:
• Phoenix, AZ/ Chicago, IL / Washington, DC in USD per year is: $184,000 - $230,000.
• New York, NY/ San Francisco, CA in USD per year is: $221,000 - $276,000.
• Additionally, candidates are eligible for a discretionary incentive plan and benefits.
• This pay scale is subject to change and is not necessarily reflective of actual compensation that may be earned, nor a promise of any specific pay for any specific candidate, which is always dependent on legiti

Additional Information

At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses. Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment. Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship. Overall Purpose: The Principal Information Security Risk Management, AI is responsible for ensuring enterprise-wide Generative AI (GenAI), Agentic AI, LLMs, and ML security programs are effective, risk-aligned, and defensible-through independent challenge, governance, and validation. This role provides independent risk-based governance within a Three Lines of Defense (3LOD) model, ensuring GenAI and agent-based systems are secure, trustworthy, and aligned to risk appetite and regulatory expectations. The position partners closely with engineering, data science, product, and AI platform teams, acting as a credible challenger-not an operator.

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