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Senior Cybersecurity Architect /Engineer (IMA & AI Security)

SID Information Technologies

Hyderabad · Hybrid Full-time Senior Today

About the role

About

Are you a technical expert who excels at the intersection of Identity Governance, Cloud Security, and Artificial Intelligence?

We are seeking a hands‑on Senior Security Architect to join our core Security Architecture team. In this mission‑critical role, you will support a leading US‑based Healthcare Data Analytics client, focusing on securing the next generation of AI‑driven healthcare solutions. Identity is a major product pillar for this position, and we are looking for a professional who can design robust authorization layers while safeguarding cutting‑edge MLOps pipelines.

Key Position Details

  • Location: Hyderabad (Hybrid: 3 days WFO compulsory)
  • Experience: 5 – 8 years
  • Joining Status: Immediate joiner (max 30‑day notice)
  • Client: Leading US Healthcare Data Analytics client
  • Focus Area: End‑to‑End Identity Governance (IGA/PAM), Zero Trust Architecture, and AI/MLOps workload protection

Responsibilities

  • Identity Excellence: Enhance IGA/PAM solutions (SailPoint, CyberArk, etc.) to manage complex access for human users and AI service accounts within a Service‑Oriented Architecture (SOA).
  • Secure AI/ML Pipelines: Perform deep‑dive security assessments on MLOps platforms and data pipelines; manage model integrity and lead adversarial attack simulations (evasion, poisoning, extraction).
  • Next‑Gen Authorization: Design fine‑grained controls for sensitive AI endpoints and secure connectivity via API Gateways using OAuth and advanced frameworks.
  • Cloud & Zero Trust: Architect and enforce “Least Privilege” access across AWS environments using Zero Trust principles and microservices security.
  • Security Automation: Actively develop and deploy internal security tools and automation scripts using Python, Go, or Java.
  • Collaborative Defense: Partner with Data Science teams to drive vulnerability remediation and support Secure SDLC/DevSecOps practices.

Required Technical Expertise

1. Identity & Access Management (The Core Pillar)

  • Hands‑on experience is mandatory across:
    • IGA Platforms: SailPoint or Saviynt.
    • PAM Tools: CyberArk or BeyondTrust.
    • SSO/IdP: Okta, Azure AD, or Ping Identity.

2. Cloud Security & Platform Protection

  • Deep proficiency in AWS Security Services (IAM, KMS, VPC, GuardDuty, CloudTrail).
  • Active experience with CNAPP/CSPM platforms (Wiz, Prisma Cloud, Lacework, or Orca).

3. AI/ML Security & OWASP

  • Solid knowledge of the OWASP AI Top 10, OWASP LLM Top 10, and API Security Top 10.
  • Experience applying security controls directly to AI data pipelines and MLOps environments.

4. Defense & Development

  • Demonstrated ability to write secure code for automation (Python, Go, or Java).
  • Expertise in threat‑modeling methodologies and the MITRE ATT&CK framework.

Requirements

  • Hands-on experience is mandatory across: IGA Platforms: SailPoint or Saviynt.
  • Hands-on experience is mandatory across: PAM Tools: CyberArk or BeyondTrust.
  • Hands-on experience is mandatory across: SSO/IdP: Okta, Azure AD, or Ping Identity.
  • Deep proficiency in AWS Security Services (IAM, KMS, VPC, GuardDuty, CloudTrail).
  • Active experience with CNAPP/CSPM platforms (Wiz, Prisma Cloud, Lacework, or Orca).
  • Solid knowledge of the OWASP AI Top 10, OWASP LLM Top 10, and API Security Top 10.
  • Experience applying security controls directly to AI data pipelines and MLOps environments.
  • Demonstrated ability to write secure code for automation (Python, Go, or Java).
  • Expertise in Threat Modeling methodologies and the MITRE ATT&CK framework.

Responsibilities

  • Enhance IGA/PAM solutions (SailPoint, CyberArk, etc.) to manage complex access for human users and AI service accounts within a Service-Oriented Architecture (SOA).
  • Perform deep-dive security assessments on MLOps platforms and data pipelines; manage model integrity and lead adversarial attack simulations (Evasion, Poisoning, Extraction).
  • Design fine-grained controls for sensitive AI endpoints and secure connectivity via API Gateways using OAuth and advanced frameworks.
  • Architect and enforce "Least Privilege" access across AWS environments using Zero Trust principles and microservices security.
  • Actively develop and deploy internal security tools and automation scripts using Python, Go, or Java.
  • Partner with Data Science teams to drive vulnerability remediation and support Secure SDLC/DevSecOps practices.

Skills

AWSAWS CloudAWS IAMAWS KMSAWS CloudTrailAWS GuardDutyAWS VPCAPI GatewayAPI SecurityAzure ADBeyondTrustCNAPPCloud SecurityCyberArkCSPMGoIdentity and Access ManagementIGAJavaLLM SecurityMLOpsMITRE ATT&CKOAuthOktaOWASP AIOWASP LLMOWASP Top 10PAMPing IdentityPrisma CloudPythonSailPointSaviyntSecure SDLCSecurity AutomationService-Oriented ArchitectureThreat ModelingZero TrustWiz

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