AI/ML DevSecOps Engineer

Job Family:
Data Science & Analysis

Travel Required:
None

Clearance Required:
Active Secret

What You Will Do:

Support projects as a security-conscious DevSecOps Engineer to support the deployment of artificial intelligence (AI) / machine learning (ML) models using tools such as Docker, GitHub, Jenkins, OpenShift, and others to perform continuous integration and continuous delivery (CI/CD), container orchestration, and infrastructure automation, while integrating security measures.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for ML model deployment using Jenkins and GitHub.
• Containerize ML models using Docker and manage deployments on OpenShift.
• Integrate security checks and compliance validation into CI/CD workflows.
• Collaborate with data scientists and ML engineers to understand model requirements and deployment constraints.
• Automate infrastructure provisioning using tools like Terraform or Ansible.
• Monitor and troubleshoot deployment environments to ensure reliability and performance.
• Implement logging, monitoring, and alerting solutions for deployed ML services.
• Maintain documentation for deployment processes, configurations, and security protocols.

• Identify opportunities for AI integration and advancement and drive innovation for our clients.
• Ensure AI/ML deployments adhere to commercial and public sector guidelines, policies and standards, delivering responsible use of AI.
• Document processes and configurations clearly and thoroughly.
• Provide technical guidance and mentorship to team members.
• Stay abreast of the latest advancements in AI/ML deployment technologies and apply them to our business needs, creating strategy and implementation roadmaps as needed.
• Develop trusted relationships with clients at all levels of the organization to obtain a more complete perspective and understanding of our clients' mission, challenges, and goals to deliver tailored solutions.
• Support business development efforts (e.g., responding to RFPs/RFIs, developing white papers, creating pitch decks and capability briefings, etc.).

What You Will Need:

• An ACTIVE and MAINTAINED "TOP SECRET" Federal or DoD security clearance
• Bachelor's degree is required
• Minimum FOUR (4) years of relevant professional experience in AI/ML, DevSecOps, data engineering, or software development/engineering.
• Solid understanding of DevSecOps principles, including integrating security into CI/CD workflows for AI/ML models.
• Experience with Docker for containerizing ML models and managing container lifecycles, including building Docker images.
• Experience with Jenkins for building and automating CI/CD pipelines.
• Experience utilizing GitHub for version control, branching strategies, and CI/CD pipeline integration.
• Experience in OpenShift for deploying and managing containerized applications in a Kubernetes-based environment.
• Ability to work with ML engineers to understand model requirements and deployment constraints.
• Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and hybrid cloud deployments, including cloud security (e.g., Managed Identities)
• Knowledge of Infrastructure as Code.
• Knowledge of Function Apps.
• Understanding of agile principles and methodology.
• Strong communication skills, with the ability to discuss technical topics with technical leaders and business topics with non-technical leaders.
• Ability to think strategically and drive innovation.
• Ability to work on remote, hybrid, or on-site projects in the DC metro area as client/contractual needs dictate.

What Would Be Nice To Have:

• Master's degree in a relevant technical field.
• SIX (6) years of relevant professional experience in AI, machine learning, DevSecOps, data engineering, or software development/engineering.
• Experience working with Virtual Machines and configuring them to be scalable, Azure Blob Storage, working with Desired State Configurations.
• Knowledge PowerShell and command-line scripting.
• Experience supporting Federal organizations as either an employee or consultant.
• Experience deploying ML models in production environments with model versioning and rollback strategies.
• Familiarity with ML model serving frameworks like MLflow, Seldon, or TensorFlow Serving.
• Experience with infrastructure as code (IaC) tools such as Terraform or Ansible.
• Familiarity with Linux-based systems and shell scripting.
• Knowledge of network security, including firewalls, VPNs, and secure communication protocols.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
• Experience with security compliance standards (e.g., NIST, ISO 27001, SOC 2).
• Exposure to automated testing frameworks for infrastructure and security validation.
• Understanding of data privacy regulations (e.g., GDPR, HIPAA) as they relate to ML deployments.
• Experience supporting Federal Government organizations.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.