Security Architect AI AppSec

Sovereign Care Services LLP; Brownsburg (IN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k)

Employee discounts

Opportunity for advancement

Flexible work environment

Competitive compensation

Career advancement

Job summary

Sovereign Care Services LLP in Brownsburg, Indiana seeks an experienced Security Architect/AI Security AppSec to drive secure adoption of AI agent frameworks. You will evaluate security controls, define governance for Azure AI Foundry, Copilot, and related services, and ensure data privacy, compliance, and resilience across our environments.

This role combines high-level architectural oversight with hands-on engineering, reporting to the Director of Security in Global Security, and shaping

Qualifications

• 5+ years in Cloud Security/Architecture with hands-on Azure experience.
• Hands-on with Azure AI Services and Azure OpenAI.
• Experience securing AI toolchains and data in regulated environments.

Responsibilities

• Actively evaluate new AI tools and LLM providers for security posture.
• Design secure architectural patterns for AI agent integration.
• Analyze AI threats (prompt injection, data poisoning) and implement mitigations.
• Evaluate Azure AI Foundry, M365 Copilot Studio, and Graph API against compliance standards.
• Develop MPC security practices and data isolation strategies.
• Assist Enterprise Architecture Review Board with evaluated technologies.

Skills

Cloud security architecture

Azure AI Services

Zero Trust

Threat modeling

Data privacy

RAG patterns

Education

Azure Security / AI security certifications

Tools

Terraform

Bicep

Azure OpenAI

Microsoft Entra ID

Managed Identity

Graph API

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

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.

Qualifications

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