AI Security Engineer – AI, Agentic Security

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🔥 1 hour ago

🌐 Mexico, Uruguay, +3 more countries – Remote

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⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

👻 Ghost score 12%

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Logo of Strategic Systems International

Strategic Systems International

501 - 1000 employees

Founded 1991

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Strategic Systems International (SSI) is a technology services company focused on providing innovative software solutions. With three decades of experience, SSI empowers businesses through advanced data services, artificial intelligence, and cloud computing. Their expertise spans various industries, including financial services, healthcare, and industrial supply chain. SSI's services include AI/ML, digital transformation, and SaaS applications, helping clients optimize their operations and make informed decisions. SSI is dedicated to merging physical and digital worlds, enhancing efficiency and productivity for a broad range of clients from startups to Fortune 500 companies.

📋 Description

• Support the Enterprise AI Security Program • Help ensure the safe and secure adoption of AI across internal chatbots, agentic workflows with tool access, code assistants, and agentic platforms • Assess new AI tools and protocols by analyzing their architecture, trust boundaries, and authentication models • Develop specific and testable security policies • Translate security policies into automated enforcement through policy-as-code, CI/CD gates, gateway-level controls, and DLP rules • Evaluate and address AI/LLM security risks, including prompt injection, unsafe outputs, tool-use abuse, data leakage, identity misuse, and agentic workflow escalation • Provide defensible security opinions on new tools, protocols, and frameworks within days • Turn vendor capability gaps and new tool risk profiles into implementable and testable control requirements • Discover and govern shadow-AI/BYOAI usage at scale • Support detection engineering, SIEM integration, and telemetry design for AI and agent behavior

🎯 Requirements

• Strong software engineering experience, with 5+ years of experience • Proficiency in Python (or equivalent) • 3+ years in AI/ML or GenAI security, or equivalent hands-on information security experience with a demonstrated pivot into AI security • Ability to write specific, testable security policy and translate it into automated enforcement, including policy-as-code, CI/CD gates, gateway-level controls, and DLP rules • Self-directed learning on fast-moving technical topics; ability to assess new tools, protocols, or frameworks, including architecture, trust boundaries, and authentication models • Working knowledge of AI/LLM security risks, including prompt injection, jailbreaking, unsafe outputs, tool-use abuse, identity misuse, and agentic workflow escalation • Hands-on familiarity with NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and OWASP Agentic Top 10 • Experience with cloud security across at least two of AWS, GCP, and Azure, including native AI/ML security tooling • Knowledge of OAuth 2.0/2.1, OIDC, and mTLS • Interest in or exposure to non-human/workload identity, including SPIFFE/SPIRE, and agent identity models • Experience in a highly regulated industry, such as healthcare or financial services, with HIPAA or equivalent compliance obligations • Strong technical writing skills • Preferred: direct experience with MCP or A2A protocol security, or AI gateway products • Preferred: exposure to AI-native runtime security platforms or classic content guardrail products • Preferred: familiarity with shadow-AI/BYOAI risk and discovery/governance tools such as CrowdStrike Falcon, Wiz, and CASB • Preferred: AI red-team tooling experience with PyRIT, Promptfoo, AgentDojo, or custom harnesses • Preferred: familiarity with Microsoft Purview DSPM for AI or equivalent DLP-for-AI tooling • Preferred: relevant certification such as CAISP or ISACA AAISM, or equivalent demonstrated skill • Preferred: experience with detection engineering, SIEM integration, and telemetry design for AI/agent behavior

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