We are a technology-driven organization building large-scale, AI-powered digital platforms that solve complex real-world challenges. Our solutions leverage cutting-edge technologies across artificial intelligence, machine learning, cloud computing, and data platforms to deliver meaningful impact at scale.

We foster a culture of innovation, ownership, collaboration, and continuous learning, empowering individuals to build transformative products while working on some of the most exciting challenges in AI and cybersecurity.

Define and lead the enterprise AI security strategy covering LLMs, machine learning models, agentic systems, and AI infrastructure.

Conduct AI threat modeling and identify risks including prompt injection, adversarial attacks, model extraction, model inversion, and data poisoning.

Secure AI training, inference, and model-serving environments through robust security controls and architecture reviews.

Lead AI red-teaming initiatives and adversarial testing programs for AI applications deployed in production.

Establish AI governance frameworks including model risk management, auditability, provenance, approval workflows, and compliance controls.

Design security controls for agentic systems, orchestration frameworks, tool integrations, permissions, and sandboxing strategies.

Define model integrity controls including model signing, versioning, reproducibility, and tamper detection.

Perform AI security assessments, architecture reviews, and vulnerability testing across AI-powered products and platforms.

Establish secure AI deployment practices across cloud infrastructure, containers, APIs, and MLOps environments.

Implement privacy-preserving controls including data masking, synthetic data approaches, and privacy-focused AI architectures.

Integrate automated security checks, guardrails, compliance controls, and vulnerability scanning into AI/ML CI/CD pipelines.

Required Skills

Strong experience securing AI, Machine Learning, and Large Language Model (LLM) applications in production environments.

Deep understanding of AI threat vectors including prompt injection, jailbreaks, adversarial attacks, model extraction, and data poisoning.

Strong knowledge of the OWASP LLM Top 10 and AI security best practices.

Hands-on experience conducting AI security assessments, red-teaming exercises, and vulnerability reviews.

Strong understanding of AI governance, model risk management, and secure AI deployment practices.

Extensive cybersecurity experience across cloud security, application security, platform security, security architecture, vulnerability management, penetration testing, and SIEM/SOC environments.

Strong understanding of AI ecosystems, including transformer architectures, vector databases, retrieval systems, fine-tuning pipelines, and modern AI workflows.

Excellent stakeholder management, communication, and cross-functional collaboration skills.

Preferred Qualifications

Experience establishing enterprise-wide AI governance and responsible AI frameworks.

Experience securing agentic AI applications and autonomous systems.

Knowledge of cloud-native security architectures and MLOps security practices.

Relevant cybersecurity and cloud certifications are advantageous.

Opportunity to define and shape the AI security strategy for a rapidly growing AI-led organization.

Exposure to cutting-edge AI technologies, including LLMs, agentic systems, machine learning platforms, and cloud-scale infrastructure.

High-impact role with significant ownership and influence over AI governance and security practices.

Collaborative environment focused on innovation, continuous learning, and technical excellence.

Opportunity to work on complex security challenges at the forefront of AI adoption.

Competitive compensation, comprehensive benefits, and strong career growth opportunities.

Work alongside passionate teams dedicated to building secure, scalable, and transformative AI solutions.