SeniorAISecurityEngineer

## Accountabilities 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 base