Security Architect AI AppSec

Sovereign Care Services; Chicago (IL); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

401(k)

Employee discounts

Opportunity for advancement

Flexible Work Environment

Competitive Compensation

Job summary

Sovereign Care Services in Chicago, Illinois is seeking a Security Architect experienced in Cloud Security and AI to enhance the security of our AI environment. This pivotal role involves evaluating AI tools, designing secure architectures, and maintaining compliance with regulations.

The ideal candidate should possess over 5 years in Cloud Security, hands-on experience with Azure AI Services, and knowledge of Zero Trust principles. Join us in ensuring the security and resilience of our innovative technologies.

Qualifications

• 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience.
• Hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundary (or similar platforms like AWS SageMaker).
• Expert-level understanding of Microsoft Entra ID and Managed Identity in a complex enterprise environment.

Responsibilities

• Proactively evaluate new AI tools, frameworks, and LLM providers for security suitability.
• Design and validate secure architectural patterns for AI agent integration.
• Conduct deep-dive analysis of AI-specific threats and architect mitigations.

Skills

Cloud Security/Architecture

Azure platform experience

Azure AI Services

Microsoft Entra ID

Zero Trust implementation

Infrastructure as Code (Terraform, Bicep)

OWASP Top 10 for LLMs

Job description

Benefits

• 401(k)
• Employee discounts
• Opportunity for advancement
• Benefits/Perks
• Flexible Work Environment
• Competitive Compensation
• Career Advancement Opportunities

Job Summary

We are currently seeking an experienced Security Architect/AI Security AppSec to join our team! As a Security Architect, you will focus on assisting with the strategic evaluation and secure implementiation of our AI Agent Framework. As AI adoption accelerates across our investment and research teams, this role will be pivotal in ensuring our systems remain secur, resilient, and compliant, You will combine high-level architectural oversight--specifically evaluating new and emerging AI Technologies-- with hands on engineering.

Reporting to the Director of Security in Global Security organization, you will research security controls, validate emerging architectural patterns and define the governance standards for M365 Copilot Agents and autonomus agents built on Azure AI Foundary .

Responsibilities

• Proactively evaluate new AI tools, frameworks, and LLM providers to assess their security posture and suitability for a highly regulated investment environement
• Design and validate secure architectural patters for AI agent integration within the organization's ecosystemm ensuring data privacy and IP protection
• Conduct deep-dive analysis of AI specific threats (prompt injection, model inversion, data poisoning) and architect systemic mitigations
• Evaluate the security capabilities of Azure AI Foundary, M365 Copilot Studio, and the Microsoft Graph API against the organization's compliance standards
• Assess Model Context Protocol (MCP) security best practices, designing isolationstrategies for context managment
• As a Security architect, assist with evaluations of other technologies being evaluated with our Enterprise Architecture Review Board

Qualifications

• 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience.
• Hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundary (or similar platforms like AWS SageMaker)
• Expert-level understanding of Microsoft Entra ID, Service Principals, and Managed Identity in a complex enterprise environment
• Deep familiarity with Model Context Protocol (MCP) and its implecations for data isolation and session security
• Strong grasp of RAG (Retrieal-Augmented Generation) pattersand vector database security.
• Zero Trust: Proven track record of implementing Zero Trust in financial services or cloud-native environments
• Experience with Infrastructure as Code (Terraform, Bicep) to codify security guardrails
• Familiarity with the OWASP Top 10 for LLMs and AI-specific vulnerability scanning.

Certifications

Azure Security Engineer Associate, Azure AI Engineer Associate, or CISSP/CCSP