Principal AI Security Engineer
4 days ago
Position: Principal AI Security Engineer Location: Remote Experience: 4–8 years Shift: Open to night shift About Sennovate Sennovate is a global Managed Security Services Provider (MSSP) specializing in Identity and Access Management (IAM), Cybersecurity, and Cloud Security. We help enterprises build secure, scalable, and intelligent systems that enable growth with confidence. Our culture thrives on innovation, collaboration, and customer trust — and we’re expanding our AI security initiatives to the next level. Role Overview As a Principal AI Security Engineer, you’ll play a critical role in shaping and securing the foundation of Sennovate’s AI-driven platforms and solutions. You’ll collaborate with engineering, product, and compliance teams to design secure AI systems, strengthen data protection, and ensure responsible AI innovation across our offerings. Why This Role Matters - Define and implement the AI Security Strategy across LLMs, NLP, and ML systems. - Embed trust, transparency, and resilience into every stage of AI development. - Drive responsible AI design that balances innovation with enterprise-grade security. - Collaborate with internal teams and external partners to align with global standards for AI safety and governance. - Protect sensitive enterprise data while enabling scalable, ethical AI capabilities. Key Responsibilities - Architect and secure AI/ML models, APIs, and data pipelines used across Sennovate platforms. - Develop and implement AI threat modeling, adversarial defense, and data governance frameworks. - Partner with engineering and DevSecOps teams to embed secure-by-design principles in AI development. - Evaluate and monitor AI model risks, including prompt injection, data leakage, and model poisoning. - Conduct security reviews, red teaming, and compliance checks for AI-related systems. - Stay ahead of evolving AI security standards (e.g., NIST AI RMF, ISO 42001, EU AI Act) and apply them to product design. - Contribute to the company’s overall AI trust and safety strategy through research and internal training. Qualifications - 4–8 years of experience in Cybersecurity, ML Security, or AI System Architecture. - Strong understanding of LLMs, NLP systems, and ML pipelines. - Hands-on experience with AI model security, adversarial ML, or data privacy engineering. - Familiarity with frameworks like NIST, ISO 27001, SOC2, and AI governance guidelines. - Experience with Python, TensorFlow, PyTorch, or related AI tools preferred. - Proven ability to work cross-functionally in a fast-paced, global environment. - Excellent analytical, problem-solving, and communication skills. What We Offer - Opportunity to define and lead AI security innovation at Sennovate. - Flexible remote work setup with collaboration across global teams. - Exposure to cutting-edge AI and cybersecurity projects. - A culture of continuous learning, ownership, and trust.
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