Key responsibilities
- Strategic leadership
- Define and drive an enterprise AI security strategy aligned to business objectives and risk posture.
- Translate complex technical risks and opportunities into clear business terms for executive stakeholders.
- Establish and champion responsible‑AI governance, policies, and controls.
- Architecture and delivery
- Own the architecture and high‑level design of AI‑enabled security services; standardize cloud architectural patterns for scale, resilience, and cost efficiency.
- Secure the AI lifecycle (data, models, pipelines, tooling) against adversarial threats such as data poisoning, model theft, prompt/indirect injection, and evasion.
- Lead integration of AI‑driven automation to enhance Day 0 (design), Day 1 (deployment), and Day 2 (operations) security.
- Cross‑functional influence
- Serve as the technical liaison across Product, Engineering, Cybersecurity, and Operations; align roadmaps and priorities with measurable outcomes.
- Lead executive‑level technical discussions; provide status, trade‑offs, and escalation paths for programs and incidents.
- Operational excellence
- Institutionalize blameless postmortems, design reviews, and engineering best practices.
- Define security SLOs/SLIs for AI platforms; monitor, report, and drive continuous improvement.