We are seeking a highly skilled Cybersecurity Specialist with deep expertise in AI platform security and application security. This role focuses on enabling secure adoption of advanced AI technologies (including generative and agentic AI) across enterprise environments.
The successful candidate will provide hands-on leadership, technical guidance, and strategic direction to ensure secure, scalable, and compliant implementation of AI-driven solutions.
Key Responsibilities:
The successful candidate will provide hands-on leadership, technical guidance, and strategic direction to ensure secure, scalable, and compliant implementation of AI-driven solutions.
Key Responsibilities:
- Lead the secure adoption of AI platforms and foundation models, including AWS Bedrock, Azure OpenAI, Microsoft 365, and related technologies.
- Provide expert guidance on:
- Model security
- Secure deployment patterns
- Guardrails and safety controls
- Integration architectures
- Observability and monitoring
- Evaluation techniques and safe operationalization
- Translate platform-specific risks, limitations, and best practices into actionable engineering patterns and governance controls.
- Act as a Subject Matter Expert (SME) in cybersecurity and AI security across multiple teams.
- Lead and support team decision-making, ensuring alignment with security standards and organizational goals.
- Collaborate cross-functionally with engineering, architecture, and business teams to implement secure solutions.
- Develop and implement innovative strategies to enhance application and AI security.
- Conduct regular security assessments, audits, and vulnerability analyses.
- Provide training, mentorship, and guidance on application security and AI security best practices.
- Stay current with emerging threats, technologies, and trends in cybersecurity and AI.
- Experience with Agent-to-Agent (A2A) protocols and frameworks
- Strong understanding of agentic system design and security implications
- Deep knowledge of threats in agentic AI environments
- Ability to design and implement technical solutions to mitigate these risks
- Knowledge of third-party tools and native controls for AI risk mitigation
- Experience designing secure data handling strategies in AI/agentic systems
