Artificial Intelligence Architect; Solutions Architect

What You Will Do

Define and lead enterprise-wide AI architecture at a premier national security institution.

Los Alamos National Laboratory (LANL) is seeking a dynamic and visionary leader to architect and drive the delivery of AI and machine learning capabilities to every laboratory bench, workstation, and operational system across the Laboratory. This role requires a balanced combination of deep technical expertise and the ability to navigate complex organizational and cultural dynamics in support of our National Security mission.

The selected candidate's expertise in AI, agentic AI systems, and advanced machine learning models will help shape the strategic direction and future application of AI technologies s position resides within the Innovative Customer Experience (ICE) Division.

This position will be filled at either the Solution Architect 4 or Solution Architect 5 level, depending on the qualifications and experience of the selected candidate. Additional responsibilities, as outlined below, will be assigned to candidates hired at the higher level.

Salary: $138,500 – $233,200

In this role, the successful candidate will collaborate with internal and external NNSA senior leadership, scientists, engineers, IT solution architects, and program stakeholders across LANL to advance responsible AI adoption and enhance services and operational efficiency. The selected individual will serve as the lead AI Architect for the LANL AI Portal, designing and implementing AI infrastructure across both cloud and on-premises environments.

The candidate must demonstrate strong leadership in AI/ML initiatives that improve Laboratory effectiveness through the strategic use of AI services. This role also requires the ability to coordinate enterprise AI roadmap initiatives, contribute to long‑range strategic planning, and ensure alignment with applicable federal regulations to guide the responsible deployment of artificial intelligence technologies across the Laboratory.

Salary: $166,900 – $289,000

In addition to the responsibilities of the Solution Architect 4 role, the candidate selected at the Solution Architect 5 level will be expected to assess and evaluate the impact of architectural proposals and provide informed guidance to ensure optimal AI outcomes for the Laboratory. This individual will also deliver strategic counsel to executive leadership across the Nuclear Security Enterprise (NSE), including other National Laboratories and NNSA/DOE Headquarters, to support enterprise-wide AI initiatives and alignment.

ICE division consists of more than 350 talented Solution Architects, Computer Systems Professionals, and Computer System Technician employees who provide the varied Laboratory organizations with Information Technology experts who design, build, and support their mission‑driven technical needs, on the unclassified and classified networks through several different service touchpoints. In addition, optimize the use of information technology, ensure seamless delivery and operation of IT services by monitoring system performance, applying configuration management practices, creating processes and standards for selection and implementation.

• Ability to partner closely with technology, data, research and development, and business leaders to define the AI vision, design reference architectures, and guide delivery teams in building high‑impact AI solutions
• Experience leading large‑scale enterprise AI/ML tool deployments, particularly reusable, multi‑team solutions
• Proven experience designing scalable, modular, and resilient AI infrastructures across cloud, hybrid, and on‑premises environments
• Strong understanding of cloud architecture design patterns for major providers (AWS, Azure, GCP) and cloud‑native data and AI services (e.g., managed ML platforms, serverless architectures)
• Experience supporting AI/ML training, education, and outreach initiatives
• Prior ownership of AI/ML technology strategy and governance roadmap oversight
• Experience architecting observability, performance monitoring, and data quality metrics for AI…