Senior AI Security Engineer

Your Journey at Crowe Starts Here: At Crowe, we believe in creating a fulfilling and impactful career for you. Enjoy true flexibility that allows you to balance work with life, while being trusted to deliver results. We respect the uniqueness of every individual, prioritize your well-being, and are dedicated to your career growth. Our commitment to offering equitable opportunities for advancement reflects our core values, honed over our 80-year history. Innovation is at the heart of what we do, especially as we leverage AI technology to enhance our services. Join us at Crowe and be part of a team that is shaping the future of our industry. About Crowe AI Transformation Our mission is to make the future of human work more purposeful through the use of cutting-edge technology and expertise. The new AI Transformation team is built on Crowe's strong AI foundation, expanding the capabilities of our Applied AI and Machine Learning team. We empower clients to revolutionize their business models using AI, regardless of their current adoption stage. As a pivotal member of the AI Transformation team, you will play a critical role in elevating Crowe's market position and driving our technology and innovation strategy. The future is powered by AI, and we invite you to help us build it. About the Team • We invest in expertise. You will have the support and opportunity to delve deeply into your projects, fostering both technical and strategic mastery alongside developers, product stakeholders, and project managers. • We believe in continuous growth. Our team emphasizes professional development and knowledge-sharing among members. • We protect balance. Our culture prioritizes trust and flexibility, offering unlimited PTO and a supportive environment focused on sustainable performance. About the Role The Senior AI Security Engineer is a technical authority dedicated to securing enterprise AI and machine learning systems throughout their lifecycle, covering data ingestion, model training, inference pipelines, retrieval-augmented generation (RAG) systems, and generative AI applications. Your insights will guide advanced security assessments, address vulnerabilities unique to AI platforms, and design secure-by-design solutions for cloud and hybrid environments. Collaborating extensively with cybersecurity, cloud engineering, MLOps, data engineering, and AI teams, you will develop and implement security protocols to protect sensitive data and model artifacts from evolving threats. As a leading contributor, your influence will shape security architectures, enhance AI-specific threat detection strategies, mentor engineers, and reinforce our organization's AI security posture. • Design and implement secure deployment models for AI, ML, and generative systems in cloud and hybrid settings. • Conduct in-depth AI security testing, simulating adversarial ML attacks and RAG manipulation assessments. • Identify and address vulnerabilities in model-serving infrastructures, feature stores, and embedding pipelines. • Create guardrails and access controls for LLM- and RAG-based applications to ensure safety. • Automate tools to identify misconfigurations and data exposure risks in AI pipelines. • Partner with cloud and DevOps teams to secure Kubernetes clusters and GPU workloads. • Analyze logs and model outputs to detect anomalies or malicious activities. • Implement encryption and IAM policies for AI workloads. • Lead architecture reviews for AI features and platforms. • Document risk assessments, threat models, and compliance artifacts. • Engage in AI-specific incident response and analysis. • Evaluate emerging AI security technologies. • Support enterprise adoption of responsible AI and compliance standards. • Mentor junior engineers and contribute to cloud security posture management. Qualifications • 4+ years in cybersecurity, cloud security, ML engineering, or DevSecOps. • Experience securing AI/ML systems in production. • Solid understanding of ML pipelines and AI system components. • In-depth knowledge of adversarial ML attacks and countermeasures. • Proficient in Python and security testing tools. • Adept at risk assessment across distributed services and APIs. • Excellent communication skills and technical judgment. • Hands-on experience with Microsoft Azure security. • Willingness to travel occasionally for team collaboration. Preferred Qualifications • Bachelor's degree in Cybersecurity, Computer Science, or related field. • Master's degree in Cybersecurity or AI. • Relevant security and cloud certifications. • Expertise in securing AI platforms on Azure. • Experience with container security practices. • Experience with secrets management solutions. • Knowledge of zero-trust architecture principles. • Familiarity with generative AI security techniques. • Experience designing secure patterns for AI systems. We expect our candidates to embody Crowe's values of Care, Trust, Courage, and Stewardship—these principles guide our ethical and integrity-focused actions. The application deadline for this role is 03/31/2026. In compliance with federal law, all hires will need to verify their identity and eligibility to work in the United States. Crowe is not currently sponsoring work authorization. The salary range for this position is $74,100.00 - $147,800.00 annually, depending on various factors such as experience and skills. Our Benefits: Your exceptional experience with Crowe starts here. We value our people and offer a comprehensive total rewards package. How You Can Grow: We are committed to nurturing your talent in an inclusive culture. You will regularly meet with a Career Coach to support your professional ambitions. More about Crowe: Crowe is a leading public accounting, consulting, and technology firm in the U.S. We leverage deep industry expertise to assist clients in audit, tax, advisory, and performance services. We are known for being one of the best workplaces in the country. Crowe operates globally as a part of Crowe Global, connecting organizations in over 130 countries. Crowe LLP values diversity and is an equal opportunity employer, taking strong stands against discrimination and harassment. Crowe does not engage with unsolicited candidates or staffing services. Any unsolicited materials will be considered the property of Crowe. Crowe will adhere to Fair Chance hiring initiatives in accordance with applicable laws.