Senior Security Engineer, AI Security

Quick Facts

• Role: Senior Security Engineer (AI Security)

• Focus: Infrastructure-level security for AI and agentic systems

Description

Lead hands-on security engineering to design, deploy, and operate security controls for AI and agentic infrastructure, including cloud, Kubernetes, and data stores. Implement secure authentication, authorization, and networking for AI agents and other non-human actors, and drive security governance for AI tool usage. Help harden and continuously improve the security posture to protect customer data while addressing risks like prompt injection, data/model poisoning, and AI supply-chain risk.

Responsibilities

• Design, deploy, and operate infrastructure-level security controls for AI/agentic infrastructure (cloud infrastructure, Kubernetes, data stores)

• Design and implement secure authentication, authorization, and networking patterns for AI agents and non-human actors

• Lead security implementation for secure usage of AI tools and governance

• Maintain and continuously improve security bar to protect customer data

• Review current and upcoming infrastructure stack and provide hardening mechanisms and recommendations

• Deploy/build/operate security infrastructure solutions to scale security for on-prem and cloud

• Collaborate with cross-functional teams and lead security initiatives to influence product decisions and enhance security posture

• Participate in team on-call rotations if applicable

Requirements

• 8+ years of security experience with impactful contributions

• Hands-on experience securing agentic AI systems using controls for prompt injection, data/model poisoning, and AI supply-chain risk

• Experience designing and implementing identity and authorization for non-human workloads/agents using SPIFFE/SPIRE, OAuth 2.1, OIDC, or cloud-provider equivalents

• Experience implementing policy-as-code, infrastructure-as-code, and security automation for cloud and AI platforms

• Experience with agentic frameworks and MCP tool integration

• Cloud security experience with AWS, GCP, or Azure

• Proficiency with one or more scripting/high-level languages (Bash, Python, Go, Rust, Ruby, NodeJS, C/C++, Java)

• Bachelor’s degree in Computer Science/Information Security/related field, or equivalent experience with coding proficiency

Benefits

• Compensation for US Zone 2: $214,200–$289,800 USD

• Compensation for US Zone 3: $190,400–$257,600 USD

• Focus on AI fluency: amplify human judgment

• Durable skills: awareness, judgment, adaptability, and connection