Description

You will drive the architecture, design, and implementation of cloud security solutions utilizing AI and GenAI technologies to address emerging threats.

This role is on-site.

Responsibilities

• Develop and deploy custom security tooling in 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 RAG 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.

Required Skills

• 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.
• Experience with Terraform, Bash, and Python scripting.
• Strong understanding of DNS, PKI, encryption, key management, and cloud security principles within regulated environments.
• Familiarity with container platforms such as Kubernetes or OpenShift.
• Knowledge of AI frameworks such as TensorFlow or PyTorch and adversarial manipulation of intelligent systems.

Preferred Skills

• Experience with retrieval-augmented generation (RAG) pipeline security.
• Deep understanding of agentic AI risk mitigation strategies.

Key Skills

Education

Any Graduate