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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principle AI Security Architect - **Company:** Finastra - **Location:** Atlanta, GA, United States - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Artificial Intelligence, Microsoft Azure, Cyber Security, Continuous Integration, Azure Machine Learning, Software Engineering, GitHub Copilot, Cyber Threat Analysis, Information Technology, Machine Learning Operations, Devsecops - **Published:** May 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=daa8b133861d29c3 ## About the Role Do you have experience in Tooling?, * Bachelor's or master's degree in computer science, Information Security, Engineering, or related field. * Proven progressive experience in information security, with focus on AI/ML security. * Deep expertise in AI/ML architecture, model security, AI threat modeling, and AI risk assessment methodologies. * Proven experience in AI security tool evaluation, selection, and integration. * Demonstrated understanding of enterprise security frameworks, secure software development lifecycle, and regulatory compliance requirements for regulated global FinTech company. * Strong ability to communicate complex technical concepts to technical and non-technical stakeholders. * Relevant security certifications (e.g., CISSP, CCSP, Certified AI Security Professional) preferred. * Experience developing and delivering code using modern CI/CD delivery methodologies. Desired Skills * Experience with Azure ML, Azure OpenAI, Microsoft/GitHub Copilot security patterns; integration with Microsoft 365, Entra ID, Defender, Purview for data protection and governance. * Completed independent architecture reviews and red-team exercises for flagship AI features, closed priority findings within SLA. ## Description Strategic Architecture & Roadmap * Primary AI Security SME for the CISO organization. * AI Security SME supporting AI COE, providing expert guidance on AI security architecture, policies, and standards. * Establish reference architectures (e.g. RAG, MCP, agents, tenancy/orchestration), with standardized patterns for identity, access, data protection, and plugin safety. * Integrate AI security controls and requirements into enterprise architecture patterns and overlays, ensuring secure-by-design principles are applied. * Lead the evaluation, selection, and implementation of AI security tools, working collaboratively with internal stakeholders and external partners. * Stay current with advancements in AI/ML security, threat landscapes, and emerging technologies; proactively adapt frameworks and controls accordingly. * Stay ahead of evolving AI threats and recommend cutting-edge security solutions by conducting research and innovation. Governance, Compliance & Risk * Converts AI risks into actionable controls, KPIs, and board-level narratives. * Participate in and support audits, compliance reviews, and incident response as it relates to AI systems. * Partner to develop and enforce AI security policies, including compliance with emerging standards (e.g., NIST AI RMF). Threat Modeling & Controls * Perform AI threat modeling and risk assessments to identify, prioritize, and mitigate security risks related to AI/ML initiatives. DevSecOps for AI * Ensure alignment of AI security practices with organizational strategy and regulatory requirements. * Integrated security controls into AI/ML lifecycle (data collection, model training, deployment). * Embed security automation into AI CI/CD and ensure continuous validation for drift, bias, and robustness. Incident Response & Resilience * Create playbooks for AI-specific incident response (e.g., model compromise, data exfil via prompts, malicious fine-tuning) * Drive red-team/blue-team exercises for AI systems and coordinate independent architecture reviews across product lines. ## Related Videos - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Thinking Differently - How to Make Money from Cyber Attacks & Cheats](https://www.wearedevelopers.com/videos/745-thinking-differently-how-to-make-money-from-cyber-attacks-cheats) - [AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!](https://www.wearedevelopers.com/videos/1546-ai-pair-programming-with-github-copilot-at-sap-looking-back-looking-forward) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [Spot, Squash, Secure: Fighting Security Bugs with GitHub Copilot](https://www.wearedevelopers.com/videos/100052-spot-squash-secure-fighting-security-bugs-with-github-copilot) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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