Job Description

This role is for one of the Weekday's clients

Salary range: Rs 950000 - Rs 1250000 (ie INR 9.5-12.5 LPA)

Min Experience: 3 years

Location: Gurugram

JobType: full-time

We are seeking an AI & Information Security Engineer to design, build, and secure intelligent systems and enterprise applications. This role sits at the intersection of artificial intelligence and cybersecurity, ensuring that AI-driven solutions are not only high-performing but also resilient, compliant, and secure. You will work closely with engineering and IT teams to integrate robust security practices into the entire AI lifecycle, from development to deployment, while safeguarding data, infrastructure, and applications from emerging threats.

Requirements

Key Responsibilities

• Develop, deploy, and optimize AI/ML models and automation solutions for real-world applications.
• Implement and enforce security controls across applications, networks, and cloud environments.
• Conduct vulnerability assessments, risk analysis, and penetration testing to identify and mitigate potential threats.
• Ensure data security, privacy, and compliance with industry standards and regulatory frameworks.
• Monitor systems and applications for security threats, incidents, and anomalies, and respond proactively.
• Embed security best practices into AI systems, ensuring a secure development lifecycle (Secure AI lifecycle).
• Collaborate with cross-functional teams to align security measures with business and technical requirements.
• Implement encryption, secure coding practices, and data protection mechanisms to safeguard sensitive information.
• Continuously evaluate and enhance system security, performance, and resilience against evolving cyber risks.

What Makes You a Great Fit

• 3+ years of experience in AI/ML engineering, cybersecurity, or a related domain.
• Hands-on experience with AI/ML frameworks such as Python, TensorFlow, or PyTorch.
• Strong understanding of cybersecurity principles, tools, and best practices.
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud security implementations.
• Knowledge of data protection, encryption techniques, and secure application development.
• Familiarity with compliance standards such as ISO 27001, SOC 2, or similar frameworks.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in cross-functional teams and manage evolving security challenges.
• A proactive mindset with a focus on building secure, scalable, and future-ready AI systems.