Senior AI Security Technical Architect

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cyber Sphere LLC, is seeking the following. Apply via Dice today!Senior AI Security Technical ArchitectSt Louis, MOLong TermContractSenior AI Security Technical Architect to continue to build upon a defined enterprise AI security strategy, ensuring artificial intelligence and generative AI capabilities are designed, deployed, and operated in a secure, compliant, and responsible manner. This role is responsible for aligning business objectives, technology strategy, and security architecture to enable AI innovation with clear guardrails. The Senior AI Security Technical Architect will establish standards, patterns, and governance across multiple AI usage models, including third-party SaaS AI solutions, internally developed AI/ML platforms, and emerging agentic and autonomous AI systems. By grounding AI security practices in industry frameworks such as NIST AI Risk Management Framework (AI RMF) and MITRE ATLAS, this role ensures AI risks are proactively identified, communicated, and mitigated while supporting the firm s broader digital transformation, cloud adoption, and regulatory obligations.What You ll DoOwn and evolve the enterprise AI security architecture and strategy, aligning business goals, technology platforms, and risk management practices.Assist in defining secure-by-design patterns and standards for AI/ML systemsEstablish and maintain AI-specific security artifactsEnsure consistent adoption of NIST AI RMF, MITRE ATLAS, CIS, ISO 27001 across AI initiatives.Establish architectural governance and enforce adherence to AI security standards across product teams and platforms.Influence AI design decisions early in the lifecycle to reduce downstream risk and rework.Partner with enterprise stakeholders to balance speed of innovation with risk tolerance and regulatory expectations.Evaluate AI frameworks, agents, vector databases, and third-party AI platforms for security posture and enterprise readiness.Recommend and rationalize AI security tooling as part of the broader enterprise security strategy.Monitor emerging AI threats, regulatory guidance, and industry best practices to inform security strategy and standards.What Experience You Ll NeedBachelor s degree in Computer Science, Engineering, or related field, or equivalent practical experience.8 12+ years of experience in cybersecurity engineering or architecture within a complex enterprise environment.2 4+ years of hands-on experience securing or reviewing AI/ML systems and platforms.Strong understanding of:LLM architectures, embeddings, and Retrieval-Augmented Generation (RAG) patternsEnd-to-end ML pipelines (training validation deployment inference)AI model supply chain risks (model registries, containers, dependencies, open-source components)Zero Trust and identity-centric security modelsCloud security across Azure, AWS, and Google Cloud PlatformProven ability to influence architecture decisions and lead cross-functional initiatives at the enterprise level.Excellent communication skills, with the ability to engage senior technical and business leaders.What Could Set You ApartSecurity certifications such as CISSP, CISM, CCSP, or SANS certifications.Experience contributing to responsible AI practices, explainability, or bias mitigation initiativesExperience securing AI platforms in regulated industries, particularly financial services.Background supporting advanced encryption, cryptographic agility, or post-quantum readiness.Demonstrated experience in incident response and enterprise risk management.Understanding of various regulatory requirements and laws, including but not limited to NYDFS Cybersecurity Regulations and FINRA RegulationsMunesh,CYBER SPHERE LLC