AI Security Engineer (I4)
- Avalara Technologies
- 5 - 10 years
- Pune
- 3 months ago
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Job Description
What You'll DoWhat Your Responsibilities Will Be
- 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.
- 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.
- 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).
- 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.
- 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.
- 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
- 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: IT & Information SecurityRole Category: IT SecurityRole: System Security EngineerEmployement Type: Full timeContact Details:
Company: Avalara TechnologiesLocation(s): Pune
Keyskills: security compliance python machine learning artificial intelligence pipeline cloud security cyber security scikit-learn oscp information security microsoft azure tensorflow threat modeling security engineering gcp pytorch penetration testing aws
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