AI Identity, Authentication & Authorization

• Extend identity and access principles to non‑human identities and autonomous agents.
• Treat AI agents as first‑class identities, defining authentication, authorization, lifecycle management, and revocation.
• Implement delegated and “on‑behalf‑of” authorization patterns to distinguish human‑initiated actions from agent‑initiated actions.
• Apply least‑privilege and scope‑limiting controls to prevent privilege escalation in automated and multi‑agent workflows.

Threat Modeling & Risk Reduction

• Identify and mitigate AI‑specific risks including data leakage, prompt injection, jailbreaks, model abuse, data poisoning, model extraction, and AI supply‑chain risk.
• Ensure appropriate security testing and validation is embedded into AI development and deployment workflows.

Monitoring & Incident Readiness

• Define logging, monitoring, and detection requirements for AI systems, models, and agent activity.
• Partner with SecOps to ensure AI‑related events are observable, auditable, and actionable.
• Support incident response and post‑incident analysis for AI‑related security events.

Cross‑Functional Delivery

• Work closely with IAM, SecOps, AppSec, GRC, IT engineering, AI platform teams, and business stakeholders to embed security controls where they belong.

Data Security Engineering (Secondary – ~30%)

Data Protection & Governance

• Design and enhance enterprise data security controls with a focus on AI‑driven data access.
• Implement and optimize Microsoft Purview, including data classification, sensitivity labeling, DLP, information protection, and visibility.

AI‑Aware Data Security

• Ensure data security controls are aligned to AI architectures, reducing risk of sensitive data exposure via prompts, agents, outputs, and downstream sharing.
• Support secure use of enterprise data in RAG pipelines, AI workflows, and training environments.

Multi‑Platform Data Flows

• Contribute to data protection strategies across collaboration platforms, cloud services, and endpoints, ensuring consistent enforcement where possible.

• Own full-cycle recruitment for technical and non technical roles across APAC.
• Act as an embedded talent partner to engineering leadership, providing guidance on role design, seniority calibration, market availability, and hiring tradeoffs.
• Lead structured role intake sessions with hiring managers to define scope, expectations, technical requirements, and success criteria.
• Develop and execute proactive technical sourcing strategies using LinkedIn Recruiter, Boolean search, GitHub, Stack Overflow, job boards, referrals, and targeted talent communities.
• Build market maps and identify passive technical talent in competitive India and broader APAC markets.
• Conduct high-quality recruiter screens with a strong understanding of technical profiles, skill depth, and experience levels.
• Deliver strong, well-calibrated candidate shortlists within agreed timelines, prioritizing quality and hiring manager alignment.
• Ensure a consistent and positive candidate experience through clear communication, transparency, and timely feedback.
• Build and maintain robust pipelines of technical talent for both immediate hiring needs and future growth.
• Serve as a Flywire brand ambassador within the India and APAC technology ecosystem.
• Stay current on APAC labor market trends, compensation benchmarks, and competitor hiring activity.
• Manage all candidate activity in SmartRecruiters, ensuring data accuracy, compliance, and clean process execution.
• Track and report on recruiting metrics including pipeline health, time-to-hire, hiring outcomes, and funnel effectiveness.
• Continuously improve recruiting processes and practices to increase efficiency, quality of hire, and scalability as Flywire grows.