Senior AI Security Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with engineering and data science teams to design and assess AI architectures, encompassing agentic and multi-agent systems, with a focus on security, privacy, and regulatory adherence.

• Conduct security evaluations of AI/ML systems, covering model lifecycles, data pipelines, inference APIs, agent orchestration layers, and third-party AI services.

• Identify and address risks such as data leakage, model exploitation, prompt injection, indirect prompt manipulation, autonomy risks in agents (over-permissioned agents, unsafe tool usage, uncontrolled action execution), and insecure model deployment and inference exposure.

• Assist in threat modeling and risk assessments for AI and agent-driven workflows, aiding teams in executing practical risk mitigations.

• Contribute to and implement AI and agentic AI security standards, guidelines, and secure design patterns utilized throughout the organization.

• Assess AI platforms, agent frameworks, and vendors to verify their compliance with security, privacy, and regulatory standards.

• Promote responsible AI practices concerning explainability, oversight, auditability, and controlled autonomy, working closely with legal, compliance, and risk partners.

• Serve as a trusted security advisor to teams integrating AI, LLM-based agents, and workflow-oriented AI systems.

• Engage in design reviews and collaborative sessions centered on secure AI and agent deployment.

• Provide expertise on the secure utilization of generative AI, internal AI platforms, and agent-based tools interacting with the company's systems and data.

• Keep abreast of AI and agentic AI security threats, vulnerabilities, and best practices.

• Suggest enhancements to tools, processes, and controls to fortify the AI security posture.

• Contribute to internal documentation, training resources, and security enablement regarding AI and agent usage.

⛳️ Requirements

• Bachelor’s Degree or equivalent experience.

• Over 5 years of experience in application security, cloud security, or product security.

• At least 2 years of experience in AI security.

• Proven experience in securing AI/ML systems, LLM-based agents, or generative AI platforms.

• Understanding of risks specific to agentic AI, such as excessive autonomy, privilege escalation through tools, and unsafe action execution.

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerized environments.

• Knowledge of regulatory and governance issues related to AI and automated decision systems.

• Experience in embedding security within software development workflows (DevSecOps).

🏝️ Benefits

• Flexible work options, including remote, onsite, and hybrid positions.

• Company-provided technology packages for all team members.

• A collaborative and challenging atmosphere filled with forward-thinking team members.

• Extensive growth opportunities, evidenced by our history of promoting internally.

• Ongoing business training and career development opportunities.

• Competitive market-based salary with bonus compensation, quarterly profit sharing, and annual merit bonuses.

• Generous PTO and holidays, totaling 27.5 days during the first full year of employment.

• Comprehensive benefits package, including 401(K) match, adoption assistance, parental leave, tuition reimbursement, and extensive medical/dental/vision coverage, along with many unique benefits that make us a Great Place to Work.