Description

You will drive the architecture and implementation of cloud security solutions using AI and GenAI technologies to mitigate emerging threats. You will build security guardrails across the AI/ML lifecycle and deploy custom tooling for data masking and adversarial testing.

This role is on-site.

Responsibilities

• Design and deploy custom security tooling in Python or Go for model integrity verification and data masking.
• Build security guardrails across the AI/ML lifecycle, covering secure data ingestion, training, and retrieval-augmented generation pipelines.
• Map and mitigate risks specific to generative and agentic AI, including prompt injection, model inversion, and output tampering.
• 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 cloud integration solutions using AI Agents and AI Models.
• Experience with AI frameworks such as TensorFlow or PyTorch and understanding of adversarial manipulation.
• In-depth knowledge of Terraform, Bash, Python, and container platforms like Kubernetes or OpenShift.
• Strong understanding of DNS, PKI, encryption, key management, and cloud security principles in regulated environments.

Preferred Skills

• Experience with GenAI security threat modeling and mitigation strategies.
• Background in platform engineering with a focus on automated security controls.

Key Skills

Education

Any Graduate