AI Security Engineer
29 Oct 2025
Hyderabad, Telangana, India
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
78 / 100
Offer value
Moderate offer value influenced by specific niche requirements but significant potential for impact.
- Role with a strong focus on AI security measures
- Collaboration with various technical teams
- Established company with a global reputation
Pros
- Focus on the critical area of AI security
- Opportunity for cross-functional collaboration
- Work within a globally recognized automation company
Cons
- Requires niche skills and experiences, limiting broader candidate pool
- Hybrid working might be restrictive for some applicants
- Position may include high expectations and pressures
Who it's for
Mid Career • Hybrid with some required on-site presence
Good fit
- Mid-level cybersecurity professionals with AI exposure
- Tech-savvy individuals passionate about automation
- Candidates who thrive in collaborative settings
Not recommended for
- Individuals without a tech background
- Those seeking solely remote working positions
- Professionals not interested in cybersecurity
Motivation fit
Passion for AI security and emerging technologiesInterest in shaping security policies within AIDesire to work collaboratively on innovative projects
Key skills
Proficient in Python and AI/ML frameworksSolid understanding of cybersecurity fundamentalsExperience with security methodologies and compliance standards
Score: 78/100 AI verified analysis
About the job
AI Security Engineer
Tracking Code
A25-148
Job Location
Unit No 902, 9th Floor, Building No 9, Raheja Mindspace, Survey No 64, TSIIC Software Units Layout H, Hyderabad, Telangana
Job Level
Mid Career
Category
Information Technology / Information Systems
Position Type
Full-Time/Regular
We are seeking a skilled and security-minded AI Security Engineer to join our team. In this role, you will be responsible for identifying and mitigating security risks in artificial intelligence systems, ensuring the confidentiality, integrity, and availability of AI models and data. You will work cross-functionally with data scientists, engineers, and cybersecurity teams to design, build, and maintain secure AI systems across their entire lifecycle.
Key Responsibilities
- AI Threat and Risk Assessment: Identify and assess AI-specific threats, including adversarial attacks, data poisoning, model inversion, and data leakage.
- Secure AI Pipeline Development: Implement security best practices throughout the AI/ML development lifecycle—from data ingestion and training to deployment and monitoring.
- Tooling & Automation: Develop and deploy tools for automated threat detection, model monitoring, and vulnerability scanning in AI workflows.
- Cross-functional Collaboration: Partner with software engineers, data scientists, DevOps, legal, and compliance teams to ensure secure and responsible AI development.
- Monitoring & Incident Response: Establish real-time monitoring, logging, and incident response procedures for AI systems in production.
- Compliance & Governance Alignment: Ensure alignment with relevant cybersecurity standards and AI-related regulations (e.g., ISO/IEC 27001, NIST, GDPR).
Required Skills
- Proficiency in Python; experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Solid understanding of cybersecurity fundamentals and secure software development practices.
- Experience with cloud platforms (AWS, Azure, or GCP) and securing cloud-native applications.
- Familiarity with security tools (e.g., static/dynamic analyzers, monitoring tools, threat modeling platforms).
- Experience building or securing large-scale ML infrastructure.
- Knowledge of privacy-preserving ML techniques (e.g., differential privacy, federated learning).
- Familiarity with AI governance, fairness, or explainability frameworks.
Required Experience
- 2–4 years of professional experience in cybersecurity, software engineering, or AI/ML system development
- AI certificate or Diploma can offset 1 year of work experience
- 1+ years working directly on securing AI/ML systems or data pipelines
