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ADM
AI Security Architect - Erlanger, KY , Decatur, IL OR Chicago IL
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$141,158 / year median in Kentucky
Job Description
- 109812BR
Job Title:
- AI Security Architect - Erlanger, KY , Decatur, IL OR Chicago IL
Department/Function:
- Information Technology
Job Description:
- AI Security Architect
- Position Summary
- ADM's Global Information & Cyber Security (GICS), Security Architecture & Engineering team is seeking an AI Security Architect with an Engineering/Analyst background.
- Key Responsibilities
- + Consult, Recommend and Implement practices aligned with joint internal and external guidance, including understanding AI risks, securing the AI lifecycle, ensuring resilience, and establishing accountability.
Executive Communication & Risk Advisory:
Translate AI security risks into business impact and provide recommendations to technical, operational, and leadership stakeholders. Develop security assessments, architecture recommendations, and governance reporting to support risk-based decision making. +Threat Modeling & Adversarial Testing:
Conduct threat modeling for AI/ML models and pipelines, lead adversarial testing, red teaming, and stress testing on AI models. + Participate in the evaluation and security review of AI platforms, models, tools, and services. Assess AI-specific risks including data handling, model provenance, supply chain integrity, API security, third-party model exposure, and regulatory compliance. Collaborate with Legal, Privacy, Procurement, and Vendor Risk Management teams to define security requirements and controls for AI vendors and service providers. + Review current internal capabilities, process, tooling and provide strategic and tactical recommendations to meet requirements to Secure, Defend, Thwart for Ai capabilities. + Develop secure AI design patterns, reference architectures, and implementation guidance. Partner with AI engineering, MLOps, and cloud platform teams to integrate security controls into model development, deployment pipelines, model registries, data platforms, and operational workflows. + Threat Detection & Response- :•Monitor AI systems for adversarial ML attacks, prompt injection, model misuse, unauthorized access, and emerging AI threats.
Documentation & Best Practices:
Develop and maintain documentation for AI security best practices. +Cross-team Collaboration:
Partner with AI engineers, architects, compliance officers, Technologists, and stakeholders to embed controls and guide secure AI development. +Continuous Improvement:
Stay up to date with advancements in AI and automation technologies to continuously improve security engineering. +AI Risk Management:
Apply AI risk management standards to assess and mitigate risks in AI pipelines. + Mentor architects, engineers, and analysts in AI security best practices and contribute to the advancement of AI security capabilities, governance practices, and responsible AI initiatives across the organization + Support Enterprise Architecture governance process administration. + Support EA Technical Design Services. + Support EA Technical Design Review Services, include reporting on reviews. + Maintain knowledge of industry trends and utilize this knowledge to educate both IT and the business on opportunities to build better target architectures that support and drive business decisions.- Required Skills & Experience
- + Strong knowledge of CISA Secure AI principles and
ISO/IEC 23894.
+ Hands-on experience with Microsoft Purview, Defender for Cloud, Entra ID, and Sentinel. + Understanding of AI/ML fundamentals (model training, inference, adversarial ML, secure data pipelines). + Understanding of Generative AI and AI-agent security risks, including prompt injection, model inversion, model extraction, retrieval augmented generation (RAG) poisoning, model supply chain risks, agentic AI risks, and AI misuse scenario + Experience with ML platforms (TensorFlow, PyTorch, Scikit-learn) and MLOps tools (MLflow, Kubeflow, Azure Machine Learning, Databricks, or equivalent enterprise AI platforms). + Familiarity with adversarial ML concepts and tools (Pyrit, IBM Adversarial Robustness Toolbox, CleverHans). + Proficiency in scripting or programming languages (Python, Bash, .Net). + Knowledge of security methodologies and frameworks includingSTRIDE, MITRE ATLAS, MITRE ATT&CK, OWASP
Machine Learning Top 10, vulnerability management platforms, threat modeling methodologies, and SIEM technologies. + Expertise in securing workloads in Azure; AWS/GCP experience is a plus. + Ability to assess and mitigate AI-specific risks (bias, poisoning, data leakage). + Familiarity with regulatory frameworks (GDPR, HIPAA, FedRAMP, CCPA
). + Strong analytical, communication, and documentation skills. + Ability to explain complex AI security concepts to technical and non-technical audiences. + Collaborative mindset with experience working across multidisciplinary teams.- Preferred Requirements
- + 7+ years' experience in IT + 5+ years in cybersecurity, with at least 2 years focused on AI/ML or cloud security and 2 within the role of an Architect.
Certifications:
Azure Solutions Architect, GIAC Machine Learning Security Essentials (GMLE), CISSP, CCSP, or equivalent AI/ML security credentials, CAISP. + Project management experience. + Experience with lifecycle and licensing within cloud environments. + Current holder of security certifications. + ISO/IEC 23894 + Practical Experience leveraging CISA Secure AI Principles, and/orNIST IR 8596
guidance and Cybersecurity Framework 2.0- Leadership Traits
- + Ownership mindset. + Commitment to helping others thrive. + Continuous learning. + Fostering diversity, equity, and inclusion.
- Additional Information
- This position offers a complete benefit package, including 401K/ESOP, pension, health, life, and dental insurance.
REF:
109812BRReq/Job ID:
- 109812BR
City:
- Erlanger
State:
- KY - Kentucky
Ref ID:
- \#LI-SU1
- :•About ADM•At ADM, we unlock the power of nature to provide access to nutrition worldwide.
- :•\#LI-Onsite •\t:•\#IncludingYou•Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance.
- :•Benefits and Perks•Enriching the quality of life for the world begins by taking care of our colleagues.
- Physical wellness
- - medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable). +
- Financial wellness
- - flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers' compensation, legal assistance, identity theft protection. +
- Mental and social wellness
- - Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares).
Additional benefits include:
+ Paid time off including paid holidays. + Adoption assistance and paid maternity and parental leave. + Tuition assistance. + Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs.- Benefits may vary for bargained locations, confirm benefit eligibility with your recruiter.
- :•Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.
- :•$92,800.
Salaried Incentive Plan:
- The total compensation package for this position will also include annual bonus