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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Info Security Architect - AI - **Company:** MAPFRE - **Location:** Webster, MA, United States - **Experience:** Expert - **Salary:** $120,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Architectural Patterns, Microsoft Azure, Cloud Computing Security, Information Engineering, Information Leak Prevention, Information Systems Security Architecture Professional, Azure Machine Learning, Data Logging, Data Ingestion, Large Language Models, Generative AI, AI Platforms, Kubernetes, Machine Learning Operations, Virtual Agents, Databricks - **Published:** September 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a1f3fdf2e840eb9c ## About the Role * 10+ years in cybersecurity architecture or engineering roles. * Strong knowledge of modern AI/ML architectures,Generative AI, RAG, and Agentic AI architectures, pipelines, and tooling. Experience with LLM security, prompt safety testing, adversarial AI risks, and AI security control design. * Experience securing enterprise AI platforms and cloud AI services (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, Databricks, or equivalent). * Experience applying AI security and governance frameworks such as NIST AI RMF, MITRE Atlas or similar frameworks. * Understanding of AI based attacks and threats. * Strong knowledge of data protection and controls required to protect data. * Knowledge of creating and communicating cybersecurity risks both in technical and non-technical manner. * Experience working in AI/ML or data engineering environments. * Proven track record designing enterprise security frameworks or architecture patterns. * Excellent communication with technical and non-technical stakeholders. * Strong analytical, problem-solving, and decision-making abilities. * Leadership skills to guide engineering teams and influence organizational policy. * Knowledge of regulatory frameworks specific to Insurance (HIPAA, PCI, etc.) * Experience operating within complex enterprise environments where platform, cloud, or infrastructure ownership is distributed across multiple teams. ## Description * Develop secure-by-design architecture guidelines for AI/ML platforms, including data ingestion, model training, model deployment, and inference layers. * Define security architectures and guardrails for Generative AI, Agentic AI, AI agents, tool use, orchestration frameworks, and enterprise AI integrations * Lead AI-specific threat modeling activities and develop reusable security patterns for GenAI, RAG, and Agentic AI solutions to address risks such as prompt injection, model manipulation, excessive permissions, and data exposure. * Define reference security architectures, patterns, and guardrails that enable secure AI development while minimizing manual review and approval friction. * Partner with respective engineering teams to automate / integrate in the security guardrails and controls where possible. * Design risk-based, proportionate AI security controls that satisfy regulatory and enterprise requirements while enabling rapid AI development and experimentation. * Identify threats unique to AI systems-model inversion, poisoning, evasion attacks, data leakage, prompt injection, etc. Evaluate emerging AI security threats, tools, and best practices. * Lead AI-specific risk assessments and security design reviews. * Work with red teams to validate model robustness against adversarial attacks. * Define and maintain AI security requirements, standards, and technical controls that support the objectives of the AI Policy and AIS Governance Program. Ensure security requirements are aligned with enterprise security policies, applicable regulations, and approved governance standards. * Partner with Data & AI Governance, Advance Analytics, platform engineering, cloud security, and compliance teams. * Assess the cybersecurity risks associated with third-party AI vendors, models, platforms, and services, and recommend security requirements and mitigating controls. * Define security logging, monitoring, .detection, and response requirements for AI systems, including agent misuse, prompt attacks, unauthorized model access, abnormal inference activity, and sensitive data exposure. ## Related Videos - [Building Sovereign AI: Lessons from Deploying Secure RAG Systems using Confidential Computing](https://www.wearedevelopers.com/videos/100108-building-sovereign-ai-lessons-from-deploying-secure-rag-systems-using-confidential-computing) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)