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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Engineer / Claude Engineering / Remote - **Company:** Kelly Services Inc. - **Location:** Philadelphia, PA, United States (Remote available) - **Experience:** Expert - **Salary:** $166,400.0 - $228,800.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Computing Security, Data Security, File Systems, Monitoring of Systems, Intrusion Detection and Prevention, Python (Programming Language), OAuth, Open Web Application Security, AI Infrastructure, Jupyter Notebook, Data Logging, Large Language Models, Software Security, Generative AI, Containerization, Kubernetes, Virtual Agents, GPT, Data Pipelines - **Published:** July 23, 2026 - **Apply:** https://dejobs.org/x/x/00AB02D1E7E84E9A98E7E1ED72C55808/job/ ## About the Role * 5-10+ years of experience across security engineering, AI engineering, or closely adjacent fields * Hands-on experience securing generative AI systems in production, including tools built on Claude, GPT, Gemini, or similar LLM platforms * Deep working knowledge of how Claude products (Claude Desktop, Claude Code, Claude Cowork) are deployed and used in enterprise environments, including their data access patterns, integration points, and threat surfaces * Ability to walk through a full Claude Desktop rollout end-to-end: access control, OAuth and scoped permissions, monitoring and logging, data exposure vectors, and governance at each layer * Experience with AI red-teaming, prompt injection, credential leakage through AI-enabled workflows, and data exfiltration risks * Strong foundation in application security and/or cloud security, with AWS and/or GCP experience * Experience defining and implementing DLP controls in AI-enabled and cloud-native environments * Familiarity with agentic AI risk, tools that can browse, execute code, access file systems, or call external APIs on behalf of users * Threat modeling experience and comfort with detection engineering and SOC workflows * Working knowledge of OAuth, modern authentication/authorization models, and least privilege access scoping * Comfortable in Python and Jupyter notebooks for investigation and tooling * Fluent in terminal/CLI environments and investigative workflows Desired Skills & Experience * Familiarity with OWASP LLM Top 10 and MITRE ATLAS applied to real deployment scenarios, not just as frameworks to cite * Experience with AI-driven security tooling and automated GRC or compliance tooling * Exposure to Kubernetes, containerized workloads, Node.js-based systems, and data pipeline architectures * Ability to develop internal AI security guidelines and policies that engineers will actually use * Certifications: CISSP, CCSP, or any emerging AI security credentials relevant to LLM/agentic environments * Experience operating in a startup or high-growth environment with minimal process scaffolding ## Description * 25% Hands-on controls implementation: DLP, access control, monitoring, logging, and observability across AI systems * 20% Agentic AI security advisory, threat modeling, and red-team thinking applied to LLM deployments * 15% Cross-functional partnership with AI infrastructure, integration, and GRC/Legal teams * 5% Internal guideline and policy development for AI tool adoption Daily Responsibilities * 80% Hands On: Evaluating AI tools for enterprise security risk, implementing and documenting controls, building out monitoring and observability for LLM behavior in production, and responding to emerging gaps as new tools enter the environment * 20% Team Collaboration: Working with AI infrastructure, integration, GRC, and leadership to align on controls, answer security questions authoritatively, and reduce ad-hoc research burden across the org ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Keeping applications secure by evolving OAuth 2.0 and OpenID Connect](https://www.wearedevelopers.com/videos/100152-keeping-applications-secure-by-evolving-oauth-2-0-and-openid-connect) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Delay the AI Overlords: How OAuth and OpenFGA Can Keep Your AI Agents from Going Rogue](https://www.wearedevelopers.com/videos/1637-delay-the-ai-overlords-how-oauth-and-openfga-can-keep-your-ai-agents-from-going-rogue) - [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 - [Got AI ideas but no money? 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