AI Security Engineer

4 days ago

Pune, Maharashtra, India Avalara Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

What You'll Do

As an AI Security Engineer (I4) , you will play a critical role in safeguarding the organization's AI and machine learning systems, ensuring they are robust against emerging security threats and aligned with privacy and ethical standards. You will collaborate with engineering, data science, and security teams to design, assess, and improve the security posture of AI systems and the infrastructure that supports them.

This is a hands-on technical role suited for an experienced engineer with a deep understanding of security principles and practical knowledge of AI/ML systems.

mentation while ensuring secure architectural designs that align with organizational goals and compliance requirements.

You will report to Director of security team. This is a remote role.

What Your Responsibilities Will Be

Role Responsibilities

Security Design & Architecture

  • Partner with AI/ML teams to design secure AI pipelines, from data ingestion to model deployment.
  • Define and enforce security best practices for training, validation, and inference environments.
  • Evaluate threats unique to AI systems such as adversarial ML, data poisoning, model inversion, and prompt injection.

Threat Modeling & Risk Assessment

  • Conduct threat modeling of AI/ML systems and LLM-based applications.
  • Identify attack surfaces in foundation models, vector databases, APIs, and model-serving environments.
  • Develop and maintain risk mitigation strategies specific to AI systems.

Security Reviews & Testing

  • Perform security reviews and penetration testing of ML pipelines and GenAI applications.
  • Support secure integration of LLMs (e.g., OpenAI, Claude, proprietary models) with internal applications.
  • Build or use tools to scan for vulnerabilities in ML libraries and frameworks (e.g., TensorFlow, PyTorch).

Detection & Response

  • Collaborate with SOC and SIRT teams to develop detection logic for AI-related threats.
  • Investigate incidents involving AI misuse, hallucinations, or exploitation.
  • Support red-teaming and tabletop exercises focused on AI risks.

Governance & Compliance

  • Assist in establishing policies for secure AI development and deployment.
  • Ensure compliance with AI governance frameworks, data privacy regulations (e.g., GDPR, CPRA), and company standards.
  • Advocate for responsible and explainable AI practices.

Tooling & Automation

  • Build or integrate tools for prompt security validation, model behavior analysis, and abuse detection.
  • Automate threat intelligence gathering related to AI attack vectors.

What You'll Need to be Successful

Minimum Qualifications:

  • Bachelor's or masters degree in computer science, Information Security, AI/ML, or a related field.
  • 5+ years of experience in cybersecurity or security engineering, including at least 12 years working with AI/ML systems.
  • Strong understanding of machine learning pipelines, model lifecycle, and AI-specific vulnerabilities.
  • Proficiency in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
  • Experience with cloud security (AWS, GCP, or Azure), particularly in AI/ML contexts.
  • Familiarity with LLMs, vector stores, RAG architecture, and prompt engineering security considerations.

Preferred Qualifications:

  • Experience in adversarial ML, red teaming of LLMs, or security research in GenAI contexts.
  • Knowledge of AI governance tools and model card documentation.
  • Contributions to AI security tooling or participation in AI safety communities.
  • Certifications such as OSCP, GIAC GCPN, GSEC, or AI-related credentials.

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