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. Additional Provisions: • Pass a client mandated clearance process to include drug screening, criminal history check and credit check. • Candidates cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.) • The enforced dress code is business casual, i.e., collared shirt with slacks for men, no skirts above the knee for women. Who we are: Lifescale Analytics, a small business that provides specialized expertise in data and analytics. Formed in 2012, the Lifescale Analytics team has years of experience providing a spectrum of customized data management services and solutions including Data Management/Analytics, Big Data Solutions, Cloud Services, Business Intelligence, and Data Science that focus on building strong portfolios and programs. Through experience and innovation, we allow businesses, pharmaceutical companies, financial institutions, and government agencies to manage and proactively make decisions based on their biggest asset, their data. Our specialists are skilled at managing, refining, analyzing, or visualizing information for the specific purpose of increasing the value of IT to benefit from the data science industry. This job will be remote until the client decides to have employees report to the site. For more information, please visit our website at www.lifescaleanalytics.com