AI Cybersecurity Engineer
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Role details
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Job description
- Partner with IT, business functions, and product teams to support the secure development and deployment of AI solutions
- Assist with security assessments and risk reviews of commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities
- Support short-, mid-, and long-term AI-related initiatives and projects across our organization
- Collaborate with enterprise architects, cloud teams, engineering teams, and security specialists to integrate security controls into AI solutions
- Participate in threat modeling, architecture reviews, design discussions, and security assessments for AI-enabled systems
- Help evaluate emerging AI technologies, security capabilities, industry trends, and evolving threat landscapes
- Help define and mature our long-term AI security strategy, governance framework, and security roadmap
- Partner with Legal, Privacy, Compliance, Risk Management, Product Security, and Enterprise Security teams to help ensure AI solutions align with applicable requirements and standards
- Develop security recommendations for AI data protection, model security, identity management, access controls, model governance, and third-party risk
- Promote awareness, education, and adoption of secure AI development practices throughout our organization
- Contribute to executive presentations, strategy discussions, standards development, and governance forums related to AI security
Technologies:
- AI
- AI Agents
- AWS
- Azure
- Cloud
- Copilot
- Support
- LLM
- Machine Learning
- OWASP
- Security
More:
We are seeking an innovative, highly collaborative AI Cybersecurity Engineer to help us enable the secure adoption of artificial intelligence across our enterprise. The role partners with business functions, IT organizations, product teams, and Information Security & Risk Management to support secure AI solutions throughout their lifecycle and promote secure-by-design practices. This is a full-time day-shift role, with approximately 10% travel and no specified end date. Locations include Colorado Springs, Colorado; Wilmington, Delaware; and Barcelona, Spain. The full-time equivalent pay range is $139,440-$217,875 per year, with eligibility for bonus, stock, and benefits; compensation depends on factors including location, skills, experience, and education or training. We are an equal opportunity, merit-based employer committed to an inclusive workplace and encourage people from all backgrounds to apply. Applications are expected to be accepted until at least September 28, 2026, or while the job remains posted.
Requirements
- Bachelors degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field
- 8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or related disciplines
- 3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives
- Strong understanding of cybersecurity principles
- Experience evaluating security risks associated with commercial SaaS platforms, cloud services, and emerging technologies
- Knowledge of cybersecurity frameworks, security controls, and industry best practices
- Strong communication and stakeholder management skills, including the ability to collaborate with technical and non-technical audiences
- Ability to translate complex cybersecurity and AI-related risks into practical business recommendations
- Preferred: Experience securing generative AI platforms, machine learning environments, AI agents, copilots, and AI-enabled applications
- Preferred: Experience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes
- Preferred: Familiarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply chain security
- Preferred: Experience with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms
- Preferred: Knowledge of the NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), ISO 27001, OWASP Top 10 for LLM Applications, and related standards
- Preferred: Experience in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing
- Preferred: Professional certifications such as CISSP, CCSP, CISM, GIAC, Microsoft Security certifications, AI-related certifications, or equivalent
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