Information Security Analyst (AI Governance)

As Form Energy scales, AI tools are becoming embedded in how our teams write, code, analyze, and make decisions — through AI applications, custom skills, plugins, and autonomous agents deployed across the business The Manager of AI Applications will own the full lifecycle of these tools: evaluating and reviewing new AI applications before adoption, securing them against data-exposure and misuse risk, deploying and configuring them for business use, and managing their ongoing performance, access, and governance This is a hands‑on, cross‑functional role that combines security judgment, IT operations discipline, and a genuine curiosity about how AI systems behave — bridging the gap between fast‑moving AI capabilities and the guardrails Form Energy needs to adopt them safely and effectively Own the intake and review process for new AI applications, skills, plugins, and agents — assessing business value, data access, permission scope, and vendor security posture before approval Lead security review of AI tools, including evaluating data handling and retention practices, model/vendor trust boundaries, prompt‑injection and jailbreak exposure, third‑party plugin risk, and integration permissions (OAuth scopes, API access, connected data sources) Manage deployment and configuration of approved AI applications across the organization, including access provisioning, environment/tenant setup, and rollout communication and training Establish and maintain an inventory and risk register of all AI applications, skills, plugins, and agents in use, tracking ownership, data scope, and review status — including inactive or abandoned deployments Define and enforce guardrails for agentic tools specifically — reviewing what actions an agent is authorized to take autonomously (e.g., sending communications, modifying records, executing code) and setting approval thresholds, logging, and rollback procedures Monitor usage, cost, and performance of deployed AI tools, and manage the ongoing vendor relationship including contract renewals, model/version updates, and deprecation planning Partner with IT security, legal, and business stakeholders to develop and maintain AI usage policy, acceptable‑use guidelines, and an approval workflow that scales with demand without becoming a bottleneck Investigate and respond to AI‑related incidents (e.g., data leakage through a connected tool, unexpected agent behavior, plugin compromise), coordinating remediation and post‑incident review Build lightweight documentation, training, and office‑hours support to help employees use approved AI tools effectively and safely, and to route new requests through the review pipeline Stay current on the fast‑changing AI application, plugin, and agent landscape, and proactively flag emerging capabilities or risks relevant to Form Energy Benefits 100% of medical, dental, and vision premiums covered for employees Health insurance coverage begins first day of employment Health Savings Account Generous PTO policies to enable employees to recharge when needed An Employee Resource Program that provides mental health counseling services, legal guidance, financial resources, and other helpful consulting services 80% of the total medical, dental, and vision premiums covered for dependents 12 weeks of paid parental leave, 14 weeks for the birthing parent Access to a Dependent Care Account Access to a Health Flexible Spending Account Access to a Commuter Benefits Account Access to an Adoption Assistance Flexible Spending Account Stock options granted to all employees Stock equity education and tax advice service provided by Carta Company sponsored 401k Access to an annual budget for professional development License to complete Gallup’s Strengths Finder Assessment and ongoing resources 100% employer-sponsored coverage life insurance, and short and long‑term disability policies Strong stakeholder management skills: able to run an intake/review process that business teams actually use, and to say no to risky requests without becoming a blockerWorking knowledge of AI/LLM security concepts — data exfiltration risk, prompt injection, model access controls, plugin/tool permission scopes, and agent autonomy riskClear written and verbal communication; able to translate technical AI risk into guidance non-technical stakeholders can act onDirect experience evaluating, deploying, or managing AI applications, copilots, or LLM-based tools in a business or enterprise IT settingProject and program management skills: able to track a growing portfolio of tools, vendors, and review cycles with clear documentation and measurable outcomesComfort with SaaS security fundamentals: OAuth and API permission review, third‑party integration risk assessment, and access governance #J-18808-Ljbffr Form Energy