Sr Product Security Engineer, AI & DevSecOps

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds is seeking a to help embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. In this role, you will partner closely with engineering, platform, architecture, and product teams to design secure solutions, automate security controls, and strengthen the security posture of applications and AI systems. You will serve as a security subject matter expert for modern application architectures, machine learning platforms, generative AI solutions, CI/CD pipelines, and cloud infrastructure. This position is ideal for a security professional who enjoys combining hands-on technical expertise, automation, and secure engineering practices to help teams deliver secure, compliant, and resilient products at scale. What You'll Do: - Conduct security architecture reviews, threat modeling, and security assessments for applications, APIs, cloud services, and AI-enabled systems - Define and implement security requirements, standards, reusable design patterns, and security guardrails across the software development lifecycle - Identify, assess, and help mitigate security risks while partnering with engineering teams to remediate vulnerabilities and strengthen secure coding practices - Assess and secure AI, machine learning, and generative AI solutions, including controls for model governance, secure access, data protection, and AI risk management - Design and implement security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments - Integrate security controls and automated testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning - Develop security automation using scripting, infrastructure-as-code, policy-as-code, and compliance-as-code technologies - Support identity and access management, secrets management, cloud security monitoring, vulnerability management, and incident response activities - Contribute to compliance initiatives, security metrics, risk reporting, and continuous improvement efforts - Provide technical guidance on secure development practices and champion a security-first engineering culture Basic Requirements: Degree in Computer Science, Information Security, Engineering, or related technical field, or equivalent experience Typically requires 7+ years of relevant experience in application security, product security, security engineering, or a related cybersecurity discipline Experience conducting security architecture reviews, threat modeling, secure design reviews, and vulnerability remediation Experience implementing DevSecOps practices and integrating security controls into CI/CD pipelines Experience securing AI/ML platforms, generative AI solutions, large language model applications, or data science workflows Experience with secure software development lifecycle practices, vulnerability management, and Agile development methodologies Experience with cloud platforms such as Microsoft Azure, AWS, or Google