Security Architect - Artificial Intelligence

Yarmouth, Maine | Plano, Texas | Orono, Maine

• Develop and maintain a library of enterprise AI security architectures, best practices, policies, standards, and guidelines aligned with corporate security strategy and risk management objectives.
• Assess emerging AI technologies and recommend secure design patterns and controls for AI/ML systems, including generative AI, LLMs, and Agentive AI.
• Define secure reference architectures for integrating AI solutions with enterprise IT systems and cloud environments.
• Collaborate with software architects and data scientists to ensure security-by-design in AI solution development.
• Identify, assess, and prioritize AI-related risks, including data poisoning, model theft, prompt injection, adversarial machine learning, and model drift.
• Perform threat modeling and security assessments of AI systems, models, and supporting infrastructure.
• Ensure compliance with applicable AI regulations and frameworks, such as the NIST AI Risk Management Framework.
• Guide remediation efforts and design risk mitigation strategies for AI systems.
• Partner with data governance teams to enforce data privacy and protection controls for training datasets and inference workloads.
• Provide input into enterprise-wide AI governance, including model lifecycle management and responsible AI practices.
• Act as a consultant to data science, cloud engineering, and development teams on secure AI solution design.
• Provide training and guidance to security teams, software development teams and stakeholders on AI security threats, risks, and mitigation strategies.

• 7+ years of experience in cybersecurity, with at least 3 years focused on AI, ML, or data science systems.
• Proven experience designing and securing enterprise-scale AI/ML solutions across cloud and hybrid environments.
• Strong knowledge of AI security threats and attack vectors, including adversarial ML, model inversion, data poisoning, and prompt injection.
• Experience with AI/ML platforms and tools such as TensorFlow, PyTorch, AWS SageMaker, Azure Machine Learning, AWS Bedrock, Claude, and OpenAI ChatGPT.
• Deep understanding of data privacy, governance, and compliance requirements for AI systems.
• Familiarity with LLM security, prompt engineering, and generative AI models.
• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Required to undergo and satisfactorily pass a fingerprint background check in accordance with CJIS requirements.
• Bachelor's degree in Computer Science, Computer Engineering, Cybersecurity, MIS, Data Science/Engineering or equivalent or comparable experience.
• Desired Certification(s): CCSP, CISSP, CCSK, AWS Security Specialty, or Google Cloud AI Engineer.

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Tyler is subject to regulations, guidelines, and/or client requirements relating to the qualifications of Tyler personnel performing certain client work. Because of the nature of this position, it is a requirement that the candidate can successfully pass a federal background check at the time an offer is extended and over the course of employment with Tyler.