AI Incident Response Associate Specialist

Overview Work for a global FMCG company with some of the world’s most trusted and iconic brands. Be part of an exciting business where employees are recognised and career growth is supported. At PepsiCo, you can Dare for Better. You can help build a world where there are more possibilities for more people, no matter what role you hold. Together, we’ll make a positive impact for good. Because when we Dare for Better, we can smile at what’s next. For our careers, families, communities and the planet. For you: Competitive benefits package: Annual Bonus Discounts on Scoopon, Luxury Escapes, Asahi Beverages portfolio Generous leave options (wellness, birthday, volunteer, 20 weeks parental for both primary & secondary carer, additional leave purchase/cash out) Lease Plan Health & Wellness programs: Discounted private health insurance Financial coaching Counselling sessions Flu vaccinations Skin checks Professional development programs Global career opportunities Job Overview:- Help shape the future of AI Incident Response at PepsiCo. As a Global Cybersecurity Incident Response AI Subject Matter Expert, you’ll build readiness across a highly complex global environment, take the lead when AI cybersecurity incidents happen, and turn AI technology into practical capabilities that transform how Incident Response operates every day. Responsibilities Act as the primary IR representative for AI security incident readiness, investigations, and response activities across PepsiCo’s AI ecosystem Develop and maintain holistic knowledge of AI-related infrastructure, applications, data flows, model environments, business criticality, ownership, and operational dependencies Support and maintain inventories of AI systems, models, agents, datasets, integrations, supporting infrastructure, owners, and critical business processes Establish and maintain strong working relationships with AI engineering, data science, application, platform, governance, and business teams to enable effective incident preparation and response Develop, maintain, and improve AI-specific IR runbooks, investigation procedures, evidence collection and analysis guidance, and escalation paths Lead AI security incidents and investigations end-to-end, coordinating IR activities with support from other functions like Incident Response, Digital Forensics, Malware Analysis, Application Security, Cloud Ops and AI teams Perform investigation activities related to AI security events, including unauthorized access, model abuse, prompt injection, data leakage, adversarial manipulation, supply chain exposure, and misuse of AI-enabled capabilities Coordinate containment, eradication, recovery, and post-incident improvement activities for AI-related incidents, ensuring actions are risk-based, timely, and aligned with business priorities Partner with Security Architecture, Threat Defense and AI teams to improve AI-specific monitoring, alerting, threat hunting, and response use cases Drive the development and implementation of AI- and LLM-enabled incident response capabilities in partnership with CFC and S&T teams, leveraging automation and emerging technologies to scale IR operations and enhance incident handling across the entire response lifecycle Support the creation and maintenance of AI incident response lab environments, test cases, simulations, and safe investigation capabilities Support improvements to PepsiCo’s AI security posture through assessments, control and monitoring enhancements, tooling evaluations, POCs, capability development, deployments, and strategic security investments Participate in or organize AI-focused tabletop exercises, workshops, training sessions, and scenario-based simulations to improve organizational readiness Stay current with AI technologies, emerging AI threats, adversarial techniques, regulatory expectations, and industry best practices relevant to AI incident response Support the development of metrics, lessons learned, reports, and executive-level summaries related to AI incidents, readiness gaps, and capability improvements Mentor, support and train other IR team members by sharing knowledge of AI systems, investigation approaches, tools, and emerging AI threat patterns Participate in Incident Response off-hours escalations as required Qualifications 5+ years of experience in cybersecurity, incident response, security operations, cloud security, application security, threat analysis, or a related technical cyber security discipline Bachelor’s or Master’s degree in Information Technology, Cybersecurity, Computer Science, Data Science, Artificial Intelligence, or a related discipline Relevant certifications in Incident Response, Digital Forensics, Cloud Security and AI security are preferred Practical understanding of AI/ML systems, generative AI applications, model deployment patterns, data pipelines, APIs, cloud platforms, and enterprise application architectures Familiarity with AI security risks such as prompt injection, model abuse, data leakage, adversarial inputs, model theft, poisoning, unauthorized access, and agentic AI misuse Proven experience supporting or leading cybersecurity investigations, including scoping, evidence collection, timeline analysis, containment planning, remediation tracking, and post-incident review Strong understanding of core security technologies such as SIEM, EDR, cloud security tooling, identity platforms, DLP, IDS/IPS, logging platforms, and case management systems Working knowledge of cloud and container environments, including logs and telemetry relevant to AI workloads, applications, APIs, infrastructure, and data access Experience collaborating with cross-functional technical teams such as engineering, infrastructure, cloud, application security, data science, governance, and business stakeholders Strong analytical and problem-solving skills, with the ability to assess ambiguous situations, identify risks, and recommend practical response actions Strong communication skills, with the ability to translate complex AI and cybersecurity issues into clear findings, risks, and actions for technical and non-technical audiences ; Proficiency in English, both written and spoken Self-motivated, detail-oriented, and proactive, with a strong focus on continuous improvement and operational excellence Team-focused mindset with the ability to work effectively under pressure during high-priority or complex investigations Good decision-making skills, with the ability to balance technical risk, business impact, urgency, and available response options Strong time management and prioritization skills