Sr. AI Security Architect

DCM Infotech Limited

$120K — $160K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7-12 years of experience in security architecture, specifically with Azure and M365
  • Expertise in multi-cloud security, particularly AWS and Azure
  • Hands-on experience with Microsoft Purview for DSPM and data-flow governance
  • Strong background in building secure architectures for agent-based systems
  • Proven ability to design secure solutions within regulated environments

Responsibilities

  • Define and establish the agentic AI security architecture, including initial hardening measures
  • Implement and manage Microsoft Purview DSPM for AI with FastTrack support
  • Create sensitivity labels and automate ML classification for data governance
  • Set architecture standards for secure agent-to-API and agent-to-data access
  • Design secure AI workloads across Azure and AWS to ensure uniform controls
  • Collaborate with identity, AppSec, and GRC teams to embed security controls

Benefits

  • Opportunity to shape security architecture for cutting-edge AI technology
  • Work in a senior role with significant responsibility across critical security domains
  • Engage with modern cloud technologies and industry-leading security practices
  • Collaborative work environment with professionals in AI and security
  • Exposure to life sciences and regulated manufacturing environments providing unique challenges and experiences
Full Job Description
Experience Level: 7-12 years

Please find the below Job description.

Senior AI Security Architect - Data Security & DSPM

Combined senior hire carrying two Critical security scopes

Role Summary

Own the end-to-end security architecture for Alcon's Agentic AI platform and carry the data-security mandate for AI. This senior role consolidates two Critical scopes - agentic AI security architecture and Data Security Posture Management (DSPM) - into a single accountable owner who designs the secure platform and protects the data flowing through it.

Key Responsibilities
• Define and own the agentic AI reference security architecture (v1 and beyond), including Platform 1.0 hardening.
• Stand up and operate Microsoft Purview DSPM for AI, accelerated via Microsoft FastTrack.
• Establish the sensitivity-label and ML auto-classification baseline; map and govern data flows into and out of agents.
• Set architecture standards for agent-to-API and agent-to-data access patterns.
• Design and secure agentic AI workloads across a multi-cloud estate spanning Azure and AWS, ensuring consistent controls regardless of where agents are built and run.
• Partner with the identity, AppSec, and GRC functions to ensure controls are designed in, not bolted on.

Required Skills & Qualifications
• Deep Azure / M365 security architecture experience; Microsoft Sentinel, Entra, Defender for Cloud.
• Hands-on understanding of how to build and secure agents in a multi-cloud setup, including AWS (e.g., Bedrock Agents, AWS Lambda, IAM) alongside Azure.
• Hands-on Microsoft Purview - DSPM for AI, sensitivity labels, data-flow mapping, ML-based auto-classification.
• PI and agent architecture security; familiarity with Copilot Studio / agent platforms.
• Proven track record designing enterprise-scale secure architectures in a regulated environment.

Preferred Qualifications
• Experience in life sciences, medical device, or other regulated manufacturing.
• Relevant certifications (e.g., CISSP, Azure Security Engineer, SC-100).

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