Digital - AI Security Architect - Senior Manager

Job Description

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital - AI Security Architect - Senior Manager in the United States. This role sits at the intersection of artificial intelligence, cybersecurity, and enterprise architecture, focusing on enabling organizations to adopt AI safely and at scale. You will design and guide the implementation of secure AI and generative AI systems, ensuring resilience across data pipelines, model development, deployment, and runtime environments. The position combines deep technical architecture with strategic advisory responsibilities, helping clients navigate emerging risks in LLMs, agentic AI, and cloud-native ecosystems. You will act as a trusted expert to executive and technical stakeholders, translating complex security challenges into clear, actionable guidance. This is a senior individual contributor role within a fast-evolving consulting environment where innovation, governance, and risk management converge. The work directly impacts how enterprises build responsible AI systems aligned with regulatory and industry standards.
• Accountabilities: Design and implement secure AI and generative AI architectures across the full lifecycle, including data ingestion, model development, deployment, and inference layers. Embed security controls into LLM-based systems, RAG pipelines, and agentic AI workflows to mitigate emerging AI-specific threats. Conduct threat modeling, architecture risk assessments, and AI security testing, including adversarial testing and red teaming exercises. Define and implement AI governance, auditability, and observability frameworks to support compliance, monitoring, and incident response. Assess risks related to AI supply chains, including third-party models, training data provenance, and external APIs. Advise clients on secure AI architecture decisions involving cloud platforms, identity and access management, APIs, and data protection strategies. Translate complex technical risks into business-aligned insights and executive-level recommendations. Contribute to AI security strategy, reusable frameworks, reference architectures, and thought leadership content. Requirements: 8+ years of experience in software engineering, cybersecurity, AI/ML engineering, or enterprise architecture roles. Proven experience designing and delivering secure, production-grade AI or generative AI systems. Deep expertise in LLM-based architectures, agentic AI systems, and modern AI deployment patterns. Strong knowledge of cloud platforms (AWS, Azure, or GCP) and associated security capabilities. Expertise in identity and access management (IAM), data protection, API security, and enterprise risk management. Experience performing AI security assessments, threat modeling, and adversarial testing methodologies. Familiarity with AI security frameworks such as OWASP Top 10 for LLMs, NIST AI RMF, and MLSecOps practices. Strong client-facing experience with the ability to engage both technical and executive stakeholders effectively. Experience in regulated environments (e.g., HIPAA, SOX, FedRAMP, NIST 800-53) is highly valued. Relevant certifications such as CISSP, CCSP, or cloud security certifications are considered a strong plus. Excellent communication, strategic thinking, and ability to translate technical risk into business impact. Benefits: Competitive total compensation ranging approximately from $210,000 to $234,000 including performance-based incentives. Base salary estimated between $175,000 and $195,000 depending on experience, certifications, and location factors. Eligibility for annual incentive compensation program aligned with performance outcomes. Comprehensive benefits package including medical, dental, and vision insurance coverage. Access to wellness programs and additional employee support resources. Opportunity to work on cutting-edge AI security challenges across enterprise-scale environments. Strong focus on professional development, thought leadership, and technical growth. Exposure to high-impact client engagements in a fast-evolving digital and AI transformation landscape.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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