Lead DevSecOps Engineer – AI & Emerging Technology

Position: Lead DevSecOps Engineer – AI & Emerging Technology (Contract)
At Alix Partners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve. By understanding, respecting, and honoring the needs of our employees, clients, and communities, Alix Partners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices.

We hold ourselves accountable by providing space for authenticity, growth, and equity for everyone.

Location:

Southfield, MI, Chicago, IL, Dallas or Houston, TXAssignment:
Expected to range 8 – 12 months MUST BE CURRENTLY AUTHORIZED TO WORK IN THE UNITED STATES. NO VISA OR IMMIGRATION SPONSORSHIP FOR THIS ROLE, NOW OR IN THE FUTURE. (e.g., H-1B, STEM OPT, TN, etc.)About the Role We're seeking an Information Security Lead – AI & Emerging Technology to join our growing Information Security team and help embed security into our Dev Ops and cloud practices.

This role will work together with Dev Ops, Cloud Infrastructure, and Application Engineering teams to design and implement secure, scalable cloud solutions across Azure and AWS environments.

The ideal candidate brings deep cloud expertise, a passion for automation, and hands-on experience building secure-by-design architectures. You will also help implement AI security controls and support our organization's broader AI adoption strategy.

The Information Security Lead – AI & Emerging Technology is a full-time, contract role reporting to the Deputy Chief Information Security Officer. Benefits or paid relocation are not included in this contract position.

What you'll do Partner with Dev Ops and engineering teams to integrate security throughout the CI/CD pipeline and Infrastructure as Code (IaC) deployments, including hands-on implementation of security tooling, reusable pipeline templates, security gates, exceptions, and troubleshooting.

Design, implement, and maintain Azure Policies and guardrails for continuous compliance and drift detection, including policy initiatives, assignments, and policy-as-code practices.

Develop secure cloud configurations and architectures leveraging PaaS services across Azure (and, to a lesser extent, AWS), including managed identities, Key Vault, private endpoints, RBAC, logging/diagnostics, and secure networking patterns.

Key contributor to threat modeling and building defensible architecture

Collaborate with architecture and infrastructure teams to define and implement AI-specific security controls.

Monitor regulatory and industry developments and align cloud security practices with organizational policy and compliance goals.

Support detection and response teams with insights into cloud and Dev Ops security events.

Additional responsibilities as identified. This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.

What you'll bring

Minimum five (5) years of hands-on experience in cloud security engineering or a Dev Sec Ops  focused role, with direct experience implementing security controls in production Azure Dev Ops/Git Hub CI/CD pipelines, including YAML templates, security gates, exceptions, and troubleshooting.

Strong working knowledge of Microsoft Azure, Azure Policy (Enterprise Policy as Code - EPAC), and related cloud governance tooling (e.g. AWS Config), with the ability to assess Defender/Secure Score recommendations, determine appropriate remediation, and help prevent recurrence.

Demonstrated proficiency in Infrastructure as Code (IaC) tools (Terraform, Bicep, ARM templates, etc.).Practical and demonstrated experience deploying and securing PaaS environments and cloud-native services in multi-tenant environments

Solid understanding of cloud networking, identity management, zero trust principles, and federation.

Familiarity with AWS cloud fundamentals and security features.

Preferred qualifications:

Experience developing or securing AI/ML workloads in cloud environments.

Relevant certifications such as AZ-500…