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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Security Engineer Senior Manager - **Company:** Deloitte T.T.L. - **Location:** Grand Rapids, MI, United States - **Experience:** Expert - **Salary:** $137,400.0 - $282,100.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Engineering, Cyber Security, Computer Engineering, Information Leak Prevention, DevOps, Identity and Access Management, Software Engineering, Google Cloud, Large Language Models, Model Validation, Generative AI, Information Technology, Machine Learning Operations, Data Pipelines, Devsecops - **Published:** July 10, 2026 - **Apply:** https://dejobs.org/x/x/014AF6CE83534FE895B8BAC80FB32FB5/job/ ## About the Role * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to mentor and provide clear guidance to others The team, * Bachelor's degree or equivalent in Computer Science, Computer Engineering, Business Administration * Minimum 10 years of experience across cybersecurity and software engineering, including AI/ML with increasing leadership responsibility * Minimum 2 years of people and/or process management experience Preferred: * Proven track record defining and implementing security strategies for emerging technologies, including AI/GenAI * Deep understanding of AI/LLM risks (e.g., prompt injection, data exposure, adversarial attacks) and mitigation approaches * Experience with cloud-native architecture (AWS, Azure, GCP) and modern engineering practices (DevSecOps, MLOps) * Strong knowledge of data protection, identity, and governance frameworks, including responsible AI and regulatory considerations * Demonstrated ability to influence senior stakeholders and lead cross-functional initiatives at scale ## Description As a Senior Manager in AI Security Engineering, you will define and lead the firm's approach to securing AI/ML and Generative AI systems at scale. You will operate at the intersection of cybersecurity, engineering, and innovation-ensuring AI capabilities are deployed securely, responsibly, and in alignment with enterprise risk and regulatory expectations to support business agility and growth. Recruiting for this role ends on 7/23/2026. Work you'll do This is a strategic leadership role that will require hands-on technical experience. You will shape the AI security vision, establish governance and controls, and partner across product, engineering, risk, and legal teams to embed security and trust into the AI lifecycle. You will also mentor teams and influence senior stakeholders to enable confident, secure adoption of AI technologies. Key Responsibilities Build the AI Security StrategyContribute to and drive the evolution of the enterprise AI security vision, roadmap, and operating model aligned to broader cybersecurity and AI priorities. Embed Security into AI at ScaleEnsure secure-by-design principles across the AI lifecycle, including model development, data pipelines, deployment, and monitoring. Lead AI Risk & GovernanceEstablish frameworks to manage AI-specific risks (e.g., model integrity, data leakage, adversarial threats, misuse). Partner with risk and legal to operationalize responsible AI and regulatory compliance. Architect Secure AI SolutionsGuide secure architecture and engineering practices for AI/ML and GenAI platforms, integrating security into MLOps/LLMOps and DevSecOps pipelines. Drive Standards and ControlsDefine enterprise standards, policies, and controls for AI security, including access, data protection, model validation, and auditability. Build and Develop TalentLead, mentor, and scale a high-performing team of engineers and security specialists. Elevate AI security capabilities across the organization. Enable Business Outcomes SecurelyBalance innovation with risk management-enabling rapid AI adoption while safeguarding enterprise assets, client trust, and brand reputation. Influence and Align StakeholdersEngage senior leaders across technology, product, risk, and business functions. Communicate clearly on risks, trade-offs, and investment priorities. Impact This role has direct influence on enterprise risk posture, regulatory compliance, and the firm's ability to scale AI responsibly. Decisions made in this role will shape how AI is trusted, governed, and secured across the organization., Deloitte Technology US (DT - US) helps power Deloitte's success, which serves many of the world's largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in DT - US deliver services including: * Cyber Security * Technology Support * Technology & Infrastructure * Applications * Relationship Management * Strategy & Communications * Project Management * Financials Cyber Security Cyber Security vigilantly protects Deloitte and client data. The team leads a strategic cyber risk program that adapts to a rapidly changing threat landscape, changes in business strategies, risks, and vulnerabilities. Using situational awareness, threat intelligence, and building a security culture across the organization, the team helps to protect the Deloitte brand. Areas of focus include: * Risk & Compliance * Identity & Access Management * Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Resilient by Design: Building Robust Architectures in High-Stakes Financial Systems](https://www.wearedevelopers.com/videos/2106-resilient-by-design-building-robust-architectures-in-high-stakes-financial-systems) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) - [The New AI Security Stack: Observe, Detect, Protect](https://www.wearedevelopers.com/videos/100302-the-new-ai-security-stack-observe-detect-protect) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 164: AI Agents, AI Blindspots and MCP security problems](https://www.wearedevelopers.com/magazine/578-dev-digest-164-ai-agents-ai-blindspots-and-mcp-security-problems) - [Got AI ideas but no money? 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