Sovereign AI Lead Architect

Company Description NexCommand AI LLC is a technology company focused on developing AI and enterprise software solutions for defense, aerospace, manufacturing, maintenance, and supply chain operations. The organization builds mission-critical systems that support complex, high-stakes environments and operational workflows. NexCommand AI works closely with industry partners to deliver secure, reliable, and scalable products tailored to demanding technical and regulatory requirements. Team members collaborate across disciplines to advance applied AI capabilities while maintaining strong attention to performance, safety, and compliance.

Role Description The Sovereign AI Lead Architect is a contract, remote role responsible for defining and overseeing the end-to-end architecture of sovereign AI platforms and enterprise applications. This role designs secure, scalable, and compliant AI system architectures that align with customer requirements in defense, aerospace, manufacturing, maintenance, and supply chain domains. Daily responsibilities include leading architectural design sessions, creating technical blueprints and documentation, guiding software development teams, and ensuring robust integration across data, models, services, and infrastructure. The Lead Architect collaborates with product, security, and operations stakeholders to make technical decisions, manage architectural risks, and maintain system reliability. The role also involves reviewing implementation plans, conducting architecture assessments, and providing hands-on technical leadership throughout the project lifecycle.

Qualifications

• Architecture and Architectural Design skills to define system structure, patterns, and standards for sovereign AI and enterprise platforms.
• Software Development experience to guide implementation, review code-level decisions, and ensure alignment with architectural principles.
• Integration expertise to design and manage interfaces, APIs, and data pipelines across services, third-party systems, and cloud/on-prem environments.
• Project Management capabilities to coordinate technical workstreams, prioritize tasks, and track delivery against architectural milestones.
• Experience with AI/ML systems, data engineering, and model deployment in secure or regulated environments.
• Strong understanding of cloud architectures (e.g., AWS, Azure, or other relevant platforms), containerization, and microservices.
• Knowledge of cybersecurity best practices, data sovereignty, and compliance requirements relevant to defense and industrial sectors.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Prior experience architecting large-scale systems in defense, aerospace, manufacturing, or supply chain contexts is highly beneficial.