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Job Summary We are seeking an Agent Identity Engineer to help secure non-human and agentic identities within AI-driven environments. This role will focus on designing, implementing, and operationalizing identity and access management (IAM) controls for AI agents, automated workflows, and machine identities. The ideal candidate will have a strong engineering background in IAM, cloud security, and identity governance, with experience implementing scalable security controls that reduce risk and support emerging AI initiatives. Working closely with security leadership and IAM teams, this individual will play a key role in defining and enforcing identity security models for AI-enabled ecosystems. Key Responsibilities Design and implement security controls for agentic and non-human identities. Develop detective and preventative controls to identify and mitigate risks associated with unmanaged or excessive identity privileges. Define and enforce security boundaries for AI agents and automated workflows. Partner with IAM teams to align enterprise identity controls with AI security initiatives. Implement and maintain cloud IAM policies and governance frameworks. Support the deployment of Attribute-Based Access Control (ABAC), Role-Based Access Control (RBAC), Service Control Policies (SCPs), permissions boundaries, and related identity security controls. Reduce excessive privilege exposure and improve access governance across AI-enabled environments. Operationalize security enforcement mechanisms aligned with AI governance and security policies. Collaborate with security architects, technical leads, and engineering teams to implement secure identity solutions. Identify and address privilege escalation risks while minimizing potential security impact and exposure. Develop and implement security controls through automation and engineering best practices. Required Qualifications Strong experience in Identity and Access Management (IAM) engineering. Experience securing non-human identities, including service accounts, machine identities, workload identities, or automated systems. Deep understanding of AWS IAM and cloud-native identity and access management controls. Experience with ABAC, RBAC, SCPs, permissions boundaries, and identity governance frameworks. Experience implementing security controls programmatically within cloud environments. Strong understanding of access management, privilege escalation risks, and least-privilege principles. Experience designing and implementing scalable security solutions in enterprise environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to collaborate effectively with cross-functional security and engineering teams. Preferred Qualifications Experience with AI security, agentic identity management, or AI governance initiatives. Familiarity with identity security considerations for AI agents and automated workflows. Experience securing AI-enabled environments and emerging AI technologies. Knowledge of cloud security architecture and identity governance best practices. Experience working within enterprise-scale security and IAM programs. Education: Bachelors Degree
Job Summary We are seeking an Agent Identity Engineer to help secure non-human and agentic identities within AI-driven environments. This role will focus on designing, implementing, and operationalizing identity and access management (IAM) controls for AI agents, automated workflows, and machine identities. The ideal candidate will have a strong engineering background in IAM, cloud security, and identity governance, with experience implementing scalable security controls that reduce risk and support emerging AI initiatives. Working closely with security leadership and IAM teams, this individual will play a key role in defining and enforcing identity security models for AI-enabled ecosystems. Key Responsibilities Design and implement security controls for agentic and non-human identities. Develop detective and preventative controls to identify and mitigate risks associated with unmanaged or excessive identity privileges. Define and enforce security boundaries for AI agents and automated workflows. Partner with IAM teams to align enterprise identity controls with AI security initiatives. Implement and maintain cloud IAM policies and governance frameworks. Support the deployment of Attribute-Based Access Control (ABAC), Role-Based Access Control (RBAC), Service Control Policies (SCPs), permissions boundaries, and related identity security controls. Reduce excessive privilege exposure and improve access governance across AI-enabled environments. Operationalize security enforcement mechanisms aligned with AI governance and security policies. Collaborate with security architects, technical leads, and engineering teams to implement secure identity solutions. Identify and address privilege escalation risks while minimizing potential security impact and exposure. Develop and implement security controls through automation and engineering best practices. Required Qualifications Strong experience in Identity and Access Management (IAM) engineering. Experience securing non-human identities, including service accounts, machine identities, workload identities, or automated systems. Deep understanding of AWS IAM and cloud-native identity and access management controls. Experience with ABAC, RBAC, SCPs, permissions boundaries, and identity governance frameworks. Experience implementing security controls programmatically within cloud environments. Strong understanding of access management, privilege escalation risks, and least-privilege principles. Experience designing and implementing scalable security solutions in enterprise environments. Strong analytical, troubleshooting, and problem-solving skills. Ability to collaborate effectively with cross-functional security and engineering teams. Preferred Qualifications Experience with AI security, agentic identity management, or AI governance initiatives. Familiarity with identity security considerations for AI agents and automated workflows. Experience securing AI-enabled environments and emerging AI technologies. Knowledge of cloud security architecture and identity governance best practices. Experience working within enterprise-scale security and IAM programs. Education: Bachelors Degree