AI DevSecOps Architect

At Lifescale Analytics, we help achieve data-driven decisions by leveraging strategic technologies to create innovative solutions that ultimately help our clients to navigate their ever-changing data landscape. We have an opportunity for an AI DevSecOps Architect in the Morrisville, NC; Falls Church, VA; or Eagan, MN (Remote support will be considered for highly qualified candidates.) Note: Relocation expenses are not covered by the employer/client. Note: Relocation expenses are not covered by the employer/client. Applicants responding to this position must be a US Citizen and will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information. The candidate must have lived in the United States for the past 5 years. The Employer will not sponsor applicants for any employment visas, at hiring or in the future, including but not limited to H-1B visas. Corp-to-Corp or subcontract personnel will not be considered for this position. Key Responsibilities As a Senior DevSecOps Architect, you will lead the evolution of our software delivery lifecycle by embedding security into every stage of the CI/CD pipeline. This role is specifically focused on leveraging Artificial Intelligence to automate threat detection, optimize code reviews, and secure AI-native applications. You will be responsible for building a robust, self-healing DevSecOps ecosystem that balances rapid deployment with uncompromising security standards. AI-Enhanced Pipeline Security: Architect and maintain automated CI/CD pipelines that utilize AI/ML models for static and dynamic analysis (SAST/DAST) to identify complex vulnerabilities that traditional rule-based tools miss. Securing AI Workflows: Design security frameworks for the end-to-end AI lifecycle, including securing data ingestion, protecting model weights, and implementing "Guardrail" architectures for Large Language Models (LLMs). Intelligent Automation: Develop AI-driven orchestration (SOAR) to automate the triage and remediation of security findings, reducing manual overhead for engineering teams. Policy as Code (PaC): Implement enterprise-wide governance using tools like Open Policy Agent (OPA) to enforce security compliance automatically across multi-cloud environments. Threat Modeling & Red Teaming: Conduct advanced threat modeling for cloud-native applications, specifically accounting for AI-specific attack vectors like model inversion or data poisoning. Developer Empowerment: Create self-service security tools and "Golden Paths" that allow developers to deploy securely without friction, fostering a proactive security culture. Core Objectives Shift Left: Achieve 90% automated security coverage across all production-bound code. Mean Time to Remediate (MTTR): Utilize AI to reduce vulnerability remediation time by 40% within the first year. Innovation: Stay at the forefront of the "AI for Security" and "Security for AI" movements Technical Qualifications: DevOps & Infrastructure : Expert-level experience with Kubernetes, Terraform/Pulumi, and cloud platforms (AWS, Azure, or GCP). (Required) Security Tooling: Mastery of integrating SAST, DAST, SCA, and Secret Scanning into GitHub Actions, GitLab CI, or Jenkins. (Required) AI/ML Security : Hands-on experience securing MLOps pipelines and implementing security for AI-integrated APIs. (Required) Programming : Proficiency in Python, Go, or Bash for building custom security automation and AI-driven scripts. (Required) Observability: Deep knowledge of eBPF, Prometheus, and AI-powered logging/monitoring tools (e.g., Dynatrace or Datadog). (Required) Experience: 10+ years in IT, with at least 5 years dedicated to DevSecOps leadership in high-scale environments. AI Expertise: Proven track record of implementing AI/ML to solve operational or security challenges. (Preferred) Soft Skills: Strong ability to bridge the gap between "Speed of DevOps" and "Rigors of Security" while communicating clearly with executive leadership. Education: A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.