Description

What's the Job?

• Drive the architecture, design, and implementation of cloud security solutions utilizing AI/GenAI technologies to address emerging security threats.
• Develop and deploy custom security tooling in languages such as Python or Go for data masking, model integrity verification, and adversarial testing.
• Build security guardrails across the entire AI/ML lifecycle, from secure data ingestion and training to production monitoring and retrieval-augmented generation pipelines.
• Map and mitigate risks specific to generative and agentic AI, including prompt injection, model inversion, and output tampering.
• Gather and analyze performance and compliance metrics to ensure adherence to security standards and policies.

What's Needed?

• 3–5+ years of experience in application security, cloud security (AWS, GCP, or Azure), or platform engineering.
• Proficiency in designing and deploying cloud integration solutions using AI Agents and AI Models.
• Familiarity with AI frameworks such as TensorFlow or PyTorch and understanding of adversarial manipulation of intelligent systems.
• In-depth experience with Terraform, scripting languages like Bash or Python, and container platforms such as Kubernetes or OpenShift is highly desirable.
• Strong understanding of DNS, PKI, encryption, key management, and cloud security principles within regulated environments

Key Skills

Education

Any Graduate