Job description
 
                         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.
 
                    
                    
Required Skill Profession
 
                     
                    
                    Computer Occupations