Sr Product Security Engineer, AI & DevSecOps

Rx Savings Solutions•Columbus, OH

10d

About The Position

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 Senior Product Security Engineer, AI & DevSecOps to embed security throughout our software development lifecycle, with a focus on AI-enabled products, cloud-native platforms, and DevSecOps practices. This is a hands-on technical role for a security-minded software developer who understands how applications are designed, written, deployed, and operated. You will partner directly with engineering, platform, architecture, and product teams to translate security requirements into practical guidance, reusable patterns, shared services, and automated controls that help teams deliver products faster and more securely. The ideal candidate combines hands-on software development experience with deep knowledge of application security, AI security, attack vectors, vulnerability remediation, and security automation.

Requirements

Degree in Computer Science, Information Security, Engineering, or a related technical field, or equivalent professional experience
Typically requires 7 or more years of relevant experience in application security, product security, software development, security engineering, DevSecOps, or a related discipline
Hands-on experience writing, reviewing, and deploying application code using TypeScript, Java, Ruby, Python, or comparable languages
Strong understanding of application attack vectors, secure coding practices, software vulnerabilities, and modern application architectures
Experience conducting threat modeling, security architecture reviews, secure design reviews, and vulnerability remediation
Experience implementing DevSecOps practices and integrating automated security controls into CI/CD pipelines
Experience securing AI/ML platforms, generative AI solutions, large language model applications, or AI-assisted development workflows
Experience with cloud platforms, containers, Kubernetes, infrastructure-as-code, security automation, and application security testing tools

Nice To Haves

Knowledge of AI security frameworks and controls, including the OWASP Top 10 for LLM Applications and the NIST AI Risk Management Framework
Experience creating reusable security services, secure development patterns, engineering guardrails, or policy-as-code solutions
Experience with CI/CD and infrastructure technologies such as GitHub Actions, Azure DevOps, GitLab, Jenkins, or Terraform
Experience supporting frameworks such as SOC 2, HIPAA, SOX, NIST CSF, or ISO 27001
Ability to translate complex security requirements and technical risks into practical guidance for development teams
Strong collaboration and influencing skills, with the ability to advance security without unnecessarily slowing product delivery

Responsibilities

Partner with development teams to incorporate security requirements throughout application design, development, testing, deployment, and operations
Conduct security architecture reviews, threat modeling, secure design reviews, and assessments of applications, APIs, cloud services, and AI-enabled systems
Write and review code to identify vulnerabilities, attack vectors, and opportunities to strengthen secure development practices
Develop reusable security patterns, shared services, and automated guardrails that help engineering teams deliver products securely and efficiently
Assess and secure AI, machine learning, generative AI, and large language model solutions, including the secure use of AI-assisted development tools
Integrate automated security testing into CI/CD pipelines, including SAST, DAST, software composition analysis, secrets detection, container scanning, and infrastructure scanning
Design security controls for cloud-native applications, containers, Kubernetes, serverless platforms, and infrastructure-as-code deployments
Partner with engineering and cybersecurity teams to assess risk, remediate vulnerabilities, respond to security concerns, and promote a security-first engineering culture