Brooksource is seeking a Cybersecurity AI Engineer to support an initiative focused on securing and scaling AI across the enterprise. This role involves bridging engineering and cybersecurity, shaping how AI tools are evaluated, secured, and deployed at scale.
Responsibilities:
- Perform threat modeling and risk analysis for AI systems, tools, and emerging technologies
- Evaluate new AI tools and platforms to determine security risks and enterprise fit
- Translate security requirements into practical engineering guidance and technical controls
- Help define and document standards for AI usage, governance, and implementation
- Partner with engineering and security teams to implement controls across AI solutions
- Contribute to automation initiatives, including policy-as-code and AI-driven risk scoring
- Provide guidance on secure usage of platforms such as Microsoft Copilot and related AI services
- Support both ongoing operational needs (“keep the lights on”) and long-term modernization efforts
- Collaborate across teams to bring consistency and structure to fragmented AI initiatives
- Assist in driving secure adoption strategies for enterprise AI capabilities
Requirements:
- Experience in cybersecurity engineering (not purely policy or GRC-focused)
- Strong background in threat modeling and risk assessment
- Experience working within cloud environments and modern engineering stacks (Microsoft ecosystem preferred)
- Exposure to AI/ML or generative AI technologies and understanding of associated security risks
- Ability to translate ambiguous requirements into structured solutions and scalable standards
- Experience developing technical documentation, implementation guidance, or security standards
- Strong communication skills with the ability to work cross-functionally across engineering, security, and business teams
- Experience with Microsoft AI ecosystem technologies, including Copilot and Azure AI
- Familiarity with policy-as-code, automation frameworks, or infrastructure-as-code concepts
- Exposure to AI governance initiatives or enterprise AI rollout strategies
- Experience building or scaling security standards across large organizations
- Understanding of secure AI adoption frameworks and emerging AI security best practices