Mastercard

2 days ago

Lead AI Security Engineer, AI Identities

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 minutes agoStatus: Live

Job Summary

Secure AI system identities across models, agents, services, pipelines, and non-human actors. Lead efforts to discover and inventory AI identities, define lifecycle controls (creation to decommissioning), enforce least-privilege access via IAM-aligned policy controls, and continuously monitor for anomalous or risky behavior. Validate and assess identity security controls, support governance against NIST/ISO guidance, and provide reporting, documentation, and enablement to engineering and platform teams.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Design and operate mechanisms to discover and inventory AI identities, including models, agents, service accounts, API principals, and dynamically created identities.
•Maintain authoritative visibility into where AI identities exist, what they can access, and how they’re used across environments, integrating with AI security posture management capabilities.
•Define and operationalize lifecycle controls for AI identities (creation, modification, rotation, suspension, decommissioning) with strong provenance and accountability.
•Design and enforce least-privilege access models for AI identities using IAM-aligned policy-based authorization (RBAC/ABAC/context-aware) and ensure secure credential/key/token handling.
•Implement continuous monitoring, detect/investigate identity-based risks, conduct security assessments and control validation, and provide reports, metrics, and documentation for audits and governance forums.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Information Security, Engineering, or a related field.
•Strong experience in identity and access management, security engineering, or security operations with exposure to AI or highly automated systems.
•Expertise in least-privilege identity/security approaches such as Zero Trust Architecture and cryptographic identities, including delegated authority and short-lived credentialing concepts.
•Practical experience securing non-human identities, service accounts, APIs, or machine-to-machine access.
•Ability to design, assess, and operationalize identity controls at scale; security certifications such as CISSP or GIAC are desirable.

Experience:AI securityIdentity and access management (IAM)Security operationsCybersecurityNon-human identityAI agents

Education:

Skills:Analytical skillsCommunication skillsAdvisory/enablementRisk translation

Certifications:CISSPGIACCIAM/IAM-related certificationsCloud security certifications

Tech Stack:AI Security Posture Management (AI-SPM)NISTISOLeast Agency frameworksZero Trust ArchitectureDelegated Authority ManagementCryptographic IdentitiesShort Lived CredentialingIAMRBACABAC

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

2 days ago

Lead AI Security Engineer, AI Identities

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 minutes agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Design and operate mechanisms to discover and inventory AI identities, including models, agents, service accounts, API principals, and dynamically created identities.
•Maintain authoritative visibility into where AI identities exist, what they can access, and how they’re used across environments, integrating with AI security posture management capabilities.
•Define and operationalize lifecycle controls for AI identities (creation, modification, rotation, suspension, decommissioning) with strong provenance and accountability.
•Design and enforce least-privilege access models for AI identities using IAM-aligned policy-based authorization (RBAC/ABAC/context-aware) and ensure secure credential/key/token handling.
•Implement continuous monitoring, detect/investigate identity-based risks, conduct security assessments and control validation, and provide reports, metrics, and documentation for audits and governance forums.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Information Security, Engineering, or a related field.
•Strong experience in identity and access management, security engineering, or security operations with exposure to AI or highly automated systems.
•Expertise in least-privilege identity/security approaches such as Zero Trust Architecture and cryptographic identities, including delegated authority and short-lived credentialing concepts.
•Practical experience securing non-human identities, service accounts, APIs, or machine-to-machine access.
•Ability to design, assess, and operationalize identity controls at scale; security certifications such as CISSP or GIAC are desirable.

Experience:AI securityIdentity and access management (IAM)Security operationsCybersecurityNon-human identityAI agents

Education:

Skills:Analytical skillsCommunication skillsAdvisory/enablementRisk translation

Certifications:CISSPGIACCIAM/IAM-related certificationsCloud security certifications

Tech Stack:AI Security Posture Management (AI-SPM)NISTISOLeast Agency frameworksZero Trust ArchitectureDelegated Authority ManagementCryptographic IdentitiesShort Lived CredentialingIAMRBACABAC

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor