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Security Architect - Artificial Intelligence
- Orono, Minnesota, United States
- Orono, Minnesota, United States
Über
Location Yarmouth, Maine | Plano, Texas | Orono, Maine
Responsibilities
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.
Qualifications
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.
State‑Specific Salary Range Disclosure Requirements Salary will generally fall between $157,000 - $150,000 before adjustment for geographic differences. Recruiter can confirm if position is incentive eligible.
Benefits Your health and well-being are important to us. That’s why we invest in our team members by offering competitive benefits to support their health and financial wellness. Learn more about how we care for our people.
Equal Opportunity Statement Tyler Technologies is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, protected veteran status, or any other status protected under local, state, or federal laws. If you require reasonable accommodation for any part of the application or hiring process due to a disability, please submit your request by emailing jobs@tylertech.com or by calling 800.646.2633 ext. 791008. Please keep in mind these methods are reserved for individuals who require accommodation due to a disability.
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Sprachkenntnisse
- English
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