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Sev1Tech LLC · 1 month ago

AI Architect / Technical Lead

US-VA-Arlington

Full-time

Onsite

Senior Level

5+ years exp

Sev1Tech LLC is seeking an experienced AI Technical Lead/Architect to spearhead a dynamic team of AI professionals in advancing secure, resilient, and integrated AI systems. The role focuses on driving secure-by-design adoption and the development of strategic AI roadmaps while ensuring alignment with industry best practices and organizational goals.

ConsultingCyber SecurityInformation TechnologyInfrastructureSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Lead and mentor a team of 20 AI engineers, data scientists, and specialists, providing technical guidance, performance feedback, and professional development opportunities to ensure high team productivity and collaboration

Champion secure-by-design principles in AI development, embedding security considerations from the outset of system architecture and throughout the lifecycle

Develop and implement robust vulnerability management strategies for intelligent systems, including identification, assessment, mitigation, and monitoring of risks in AI models and infrastructure

Drive cross-sector, industry, and systems AI integration efforts, collaborating with stakeholders to ensure seamless interoperability and scalability of AI solutions across diverse environments

Spearhead the creation and execution of comprehensive AI roadmaps, aligning them with business objectives, emerging technologies, and regulatory requirements

Oversee the design and deployment of AI observability frameworks, tools, and processes to monitor model performance, detect anomalies, and maintain system integrity

Collaborate with cross-functional teams, including security, operations, and product management, to integrate AI best practices and deliver high-impact outcomes

Stay abreast of advancements in AI, machine learning, observability tools, and security trends, applying insights to enhance team capabilities and project deliverables

Manage project timelines, budgets, and resources to ensure on-time delivery of initiatives while maintaining quality standards

Qualification

AI/ML frameworksAI observabilitySecure-by-design methodologiesProject managementCloud platformsVulnerability managementRegulatory frameworksAnalytical thinkingLeadershipCommunication

Required

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field

At least 5-8 years of experience in AI/ML engineering or related roles, with a minimum of 3-5 years in a leadership or technical lead position managing teams of 10+ members

Proven track record in secure AI system design, vulnerability management, and integration across multiple sectors or systems

Strong expertise in AI observability, including tools for monitoring model performance, data drift detection, and logging

Experience developing AI roadmaps and strategic plans in complex, enterprise-level environments

Familiarity with regulatory frameworks and standards related to AI security (e.g., NIST AI Risk Management Framework, ISO/IEC standards)

Technical Proficiency: Deep knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch), cloud platforms (e.g., AWS, Azure, GCP), and observability tools (e.g., Prometheus, Grafana, ELK Stack)

Leadership: Excellent team management, communication, and interpersonal skills, with the ability to inspire and guide diverse technical teams

Security Expertise: Hands-on experience with secure-by-design methodologies, vulnerability scanning, threat modeling, and incident response in AI contexts

Analytical Thinking: Strong problem-solving abilities, with experience in root cause analysis, data analysis, and comparative tool evaluations

Project Management: Proficiency in agile methodologies, resource allocation, and delivering projects on time and within scope

Communication: Ability to articulate complex technical concepts to non-technical stakeholders and produce clear documentation

Must be eligible to obtain a Department of Homeland Security EOD clearance Requirements 1. US Citizenship, 2. Favorable Background Investigation

Preferred

Certifications such as Certified Information Systems Security Professional (CISSP), Certified AI Ethics Professional, or AWS Certified Machine Learning Specialist

Experience in cross-industry AI applications, such as healthcare, finance, or manufacturing

Publications or contributions to open-source AI projects related to observability or security

Familiarity with advanced topics like federated learning, explainable AI, or AI ethics