Pantex Plant · 20 hours ago
AI Solutions Architect
Amarillo, TX
Full-time
Onsite
Mid, Senior Level
3+ years expPantex Plant is seeking an Artificial Intelligence (AI) Solutions Architect to define, design, and govern the technical architecture for all enterprise AI/Machine Learning (ML) systems. The role involves leading architectural design, ensuring scalability, security, and performance across the entire AI ecosystem, and providing expert consultation on various technical aspects to the AI Lead and development teams.
IndustrialMachinery Manufacturing
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Define and maintain the target state architecture and technical blueprints for the organization's MLOps platform and AI solution delivery across various security domains
Design system architectures for specific high-value AI use cases, focusing on model serving, efficient inference, and integration with existing enterprise systems
Evaluate, select, and govern the core AI/ML technology stack components, including feature stores, model registries, and dedicated training infrastructure
Ensure all AI architectures meet strict security, auditing, and compliance requirements (e.g., secure data handling, access controls, lineage tracking)
Create and maintain detailed, high-quality architecture documentation, including conceptual, logical, and physical diagrams and technical standards
Collaborate closely with the Enterprise Data Management (EDM) team to align data governance and infrastructure standards with AI requirements
Provide technical governance and architectural mentorship to AI Software Engineers and Data Scientists, ensuring adherence to design patterns
Participate in the internal Architecture Review Board to present and gain approval for new AI infrastructure designs and deployment patterns
Research emerging AI technologies, including advanced Generative AI frameworks and specialized hardware, assessing their applicability to mission needs
Qualification
Required
Bachelor's degree in engineering/science discipline: Minimum 2 years of relevant experience. Typical engineering/science experience ranging from 3 to 7 years
OR Applicants without a bachelor's degree may be considered based on a combination of at least 10 years of completed education and/or relevant experience
The ability to obtain and maintain a Department of Energy Q clearance is required
Preferred
2 years of progressive experience in IT architecture, software engineering, or MLOps engineering
2 years of dedicated experience designing and implementing large-scale cloud-based or secure on-premise AI/ML production systems
Proficiency in DevSecOps principles, containerization (Docker, Kubernetes), and modern Application Programming Interface (API) design
Advanced degree or relevant Solutions Architect certification (e.g., Azure, Amazon Web Services (AWS), Google Cloud)
Expertise in DevSecops principles, containerization (Docker, Kubernetes), and modern API design
8+ years of experience, including experience defining model governance and lineage frameworks
Demonstrated experience with specialized hardware Graphics Processing Unit and High Performance Computing (GPU/HPC) infrastructure design for deep learning or large language models
Active or previous Department of Energy Q clearance
Benefits
Generous pay and benefits with a stable organization.
Work-life balance fostered through flexible work options and wellness initiatives.
Comprehensive health coverage
Robust retirement planning
Opportunities for continuous learning through education reimbursement.
Company
Pantex Plant
Pantex Plant is the nation's primary facility for the final assembly, dismantlement, & maintenance of nuclear weapons.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Caleb Heltenberg
Program Manager, Technology Transfer | University and Industrial Partnerships
William Lindley, SHRM-SCP
Human Resources Business Partner
Recent News
Business Standard India
2025-10-21
U.S. Department of Energy
2025-04-04
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