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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Architect - **Company:** Civie LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $150,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computing Platforms, Microsoft Azure, Cloud Computing, Cloud Computing Security, Cyber Security, Continuous Integration, Data Governance, Data Security, Software Design Patterns, Distributed Systems, Identity and Access Management, Key Management, Systems Development Life Cycle, Zero Trust Network Access, Tokenization, Cloud Platform System, Large Language Models, Multi-Agent Systems, Software Security, Kubernetes, Terraform - **Published:** May 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eda7b290c456433a ## About the Role Do you have experience in Zero Trust security?, * 6+ years of experience in security, cloud security, platform security, or related roles, including significant architecture experience * Proven experience designing and reviewing cloud-native security architectures in Microsoft Azure * Deep understanding of identity-first security, zero trust principles, and secure distributed systems design * Experience designing security controls for AI/ML or LLM-based systems, or equivalent experience securing emerging technologies at scale * Strong expertise in threat modeling, security design reviews, and architecture governance * Experience defining security standards and scalable patterns across engineering organizations * Strong understanding of networking, IAM, encryption, secrets management, and secure application architecture * Ability to communicate risk, tradeoffs, and design decisions clearly to both technical and non-technical stakeholders, * Experience working in HIPAA-regulated environments * Experience with infrastructure as code (Terraform, ARM, or similar) * Experience securing LLM-based products, agent frameworks, or autonomous systems * Familiarity with red teaming AI systems, adversarial testing, or AI abuse scenarios * Knowledge of data security practices such as DLP, tokenization, and data governance * Experience with container, Kubernetes, and platform security * Experience with security architecture reviews at scale in high-growth or enterprise environments * Certifications such as CISSP, CCSP, Azure Security Engineer Associate, Azure Solutions Architect Expert, or similar What We're Looking For * A systems thinker who can see across the full platform and design durable security patterns * Someone who can make high-impact design decisions under ambiguity * Strong influence and collaboration skills across engineering, product, and leadership * The ability to balance security rigor with business velocity at a strategic level * Curiosity about emerging AI threats and a practical mindset for turning risk into architecture ## Description We're looking for an AI Security Architect to define and own the security architecture for a modern platform that combines cloud infrastructure, large language models, and autonomous agents. In this role, you will establish secure-by-design patterns across Azure, AI/LLM systems, and regulated data environments, helping the company scale securely as products and capabilities evolve. This role is ideal for someone who can think across systems, set architectural direction, and partner with engineering and leadership to translate emerging risks into practical, scalable controls. What You'll Do * Define end-to-end security architecture for cloud infrastructure, AI/LLM systems, APIs, and internal platforms * Establish security standards, reference architectures, and design patterns for engineering teams * Lead architecture reviews for new products, services, and major platform changes * Own threat modeling frameworks and guide teams in identifying and mitigating design-level risks * Design secure AI/LLM usage patterns, including model access controls, prompt handling, tool-use restrictions, agent isolation, and memory boundaries * Define zero trust architectures across identity, network, service-to-service communication, and privileged access * Architect data protection strategies including classification, encryption, tokenization, retention, and isolation * Partner with engineering leadership to embed security architecture into SDLC, CI/CD, and platform design decisions * Guide compliance architecture for regulated environments, including HIPAA, SOC 2, and related frameworks * Evaluate and recommend security platforms and controls across cloud, endpoint, identity, application, and AI layers * Drive secure multi-tenant and environment isolation strategies where applicable * Support leadership on risk strategy, prioritization, and tradeoff decisions across security and product velocity, * Shape the security architecture of cutting-edge AI systems and agent platforms * Drive foundational security decisions with high visibility and ownership * Work closely with engineering and leadership on meaningful platform and product challenges * Help define how secure AI systems are built in a fast-moving environment ## Related Videos - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [When Value Becomes Programmable: A Developer's Guide to Tokenization](https://www.wearedevelopers.com/videos/100276-when-value-becomes-programmable-a-developer-s-guide-to-tokenization) - [Implementing Feature Environments with AWS and Terraform](https://www.wearedevelopers.com/videos/531-implementing-feature-environments-with-aws-and-terraform) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## 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) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Dev Digest 210: AI Agents Are Go! 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