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AI Security Engineer – AI, Agentic Security
Strategic Systems International. Support the Enterprise AI Security Program .
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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