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AI Security ArchitectPosition Summary
ADM's Global Information & Cyber Security (GICS), Security Architecture & Engineering team is seeking an AI Security Architect with an Engineering/Analyst background. This role safeguards enterprise AI systems by applying Industry guidance on AI risk standards and principles. The position ensures secure, resilient, and compliant AI adoption across cloud and enterprise environments, focusing on confidentiality, integrity, availability, safety, and ethical use of AI/ML systems. The role proactively identifies and mitigates risks from adversarial machine learning, data poisoning, model leakage, and unauthorized access, while collaborating cross-functionally to build secure and trustworthy AI systems.
This role serves as a trusted advisor for both internally developed AI capabilities and third-party AI platforms, ensuring secure, compliant, and responsible adoption of AI technologies across the enterprise. The architect partners with Data & AI Governance, Legal, Privacy, Procurement, and Enterprise Architecture teams to evaluate AI solutions, mitigate emerging risks, and establish security standards aligned with business objectives and regulatory requirements.
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.
• Contribute to the development and maintenance of ADM's AI security architecture and roadmap, ensuring alignment with business priorities, Data & AI governance requirements, responsible AI principles, and evolving regulatory obligations.
• Partner with Data & AI governance stakeholders to establish and maintain security standards for model integrity, data lineage, access control, auditability, transparency, and AI risk management throughout the AI lifecycle.
• Establish AI security testing requirements across development and deployment lifecycles, including validation of model integrity, access controls, prompt injection resilience, and adversarial attack resistance.
• 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. Partner with Security Operations and Incident Response teams to develop and maintain response procedures and playbooks for AI-related security events.
• Provide security architecture guidance for both internally developed AI solutions and externally acquired AI products and services, ensuring consistent security controls, governance, and risk management practices across the AI technology ecosystem.
• 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 including STRIDE, 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/or NIST 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. ADM is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status.
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About ADM
At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We're a global leader in human and animal nutrition and the world's premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.
#IncludingYou
Diversity, equity, inclusion and belonging are cornerstones of ADM's efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments - environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.
We welcome everyone to apply. We are committed to ensuring all qualified applicants receive consideration for employment regardless of race, color, ethnicity, disability, religion, national origin, language, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law
Benefits and Perks
Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including:

• 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. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
The pay range for this position is expected to be between: