Senior AI Security Engineer [Employer of Record]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Security Engineer Employer of Record based in India.

In this role, you will join a globally distributed engineering and security organization focused on building and scaling secure AI and machine learning systems. You will work closely with engineering, data science, product, and business teams to ensure AI adoption happens safely and responsibly across complex systems. The position emphasizes securing modern AI architectures, including LLM-based applications, agentic and multi-agent systems, and autonomous workflows. You will play a key role in embedding security by design into AI solutions, helping define guardrails, standards, and best practices. Collaboration with U.S.-based stakeholders will be a core part of your day-to-day work in a fast-paced, innovation-driven environment. The role blends hands-on technical security expertise with advisory responsibilities across multiple teams. It offers strong exposure to cutting-edge AI risk domains and enterprise-scale AI transformation.

• Partner with engineering and data science teams to design and review secure AI architectures, including agentic and multi-agent systems, ensuring privacy and regulatory compliance are embedded by design
• Conduct security assessments across AI and ML lifecycles, including data pipelines, model training, inference APIs, orchestration layers, and third-party AI services
• Identify and mitigate risks such as data leakage, model exploitation, prompt injection, unsafe tool use, and over-permissioned autonomous agents
• Support threat modeling and risk assessments for AI-driven workflows and define practical mitigation strategies
• Contribute to AI security governance by developing and operationalizing standards, secure design patterns, and internal guidelines
• Evaluate AI platforms, frameworks, and vendor solutions to ensure alignment with security and compliance requirements
• Advise teams on secure adoption of generative AI, LLM-based systems, and agent-based workflows interacting with enterprise data

Requirements:

• Bachelor’s degree or equivalent practical experience in a relevant field
• 5 plus years of experience in application security, cloud security, or product security
• At least 2 years of hands-on experience in AI security or securing AI ML systems
• Strong understanding of modern software engineering practices and distributed system architectures
• Working knowledge of AI and ML concepts including model lifecycle, training, inference, and deployment pipelines
• Familiarity with agentic AI patterns such as tool-using agents, workflow orchestration, and autonomous decision systems
• Experience with threat modeling, security testing, and risk assessment methodologies
• Ability to clearly communicate complex security risks to both technical and non-technical stakeholders
• Preferred experience with cloud platforms such as AWS, Azure, or GCP and DevSecOps practices

Benefits:

• Competitive annual compensation in the range of INR 37,99,593 to 55,72,735
• Employer of Record based employment structure with locally compliant payroll and statutory benefits
• Flexible work arrangements including remote and hybrid options
• Opportunity to work with a globally distributed team and U.S. stakeholders
• Strong exposure to advanced AI security challenges and enterprise-scale systems
• Career growth opportunities in a high-impact, innovation-driven environment
• Comprehensive benefits package provided through the EoR partner, including standard healthcare and statutory coverage