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Early Career IT Solutions Architect - Applied AI Deployment, NM​/CA - Hybrid

Remote / Online - Candidates ideally in
Leawood, Johnson County, Kansas, 66206, USA
Listing for: Sandia National Laboratories
Full Time, Remote/Work from Home position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

About Sandia

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting‑edge work in a broad array of areas. Some of the main reasons we love our jobs:

  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co‑workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten‑hour days each week) compressed workweeks, part‑time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

World‑changing technologies. Life‑changing careers. Learn more about Sandia at: http://(Use the "Apply for this Job" box below)..gov

* These benefits vary by job classification.

What Your Job Will Be Like

Sandia’s artificial intelligence (AI) team is building the U.S. Department of Energy’s (DOE) next‑generation AI Platform, an integrated scientific AI capability that delivers rapid, high‑impact solutions for national security, science, and applied energy missions. The Platform is based on three pillars:
Models, Infrastructure, and Data. As an IT Solutions Architect on Sandia’s Applied AI Deployment team, you will translate the AI team’s emerging Platform capabilities into robust, scalable enterprise solutions. You’ll work across the Models, Infrastructure, and Data pillars to define end‑to‑end architectures that connect AI systems to enterprise data sources, dashboards, and collaboration tools. In this role, your technical leadership will ensure AI solutions for agile deterrence, autonomous energy operations, and critical‑minerals discovery move seamlessly from prototype to production.

We anticipate multiple IT Solutions Architect hires that collectively span the set of responsibilities and skills described below. Likewise, new hires will be expected to work in conjunction with existing Sandia staff and teams from other DOE laboratories to deliver on this ambitious, fast‑paced project. Importantly, we anticipate that while AI Platform development will leverage existing AI and data science tools extensively, success will also require considerable innovation and problem solving to address the unique needs of DOE applications.

If this sounds like an exciting challenge to you, we look forward to reading your application!

Key Responsibilities AI Solution Development & Deployment
  • Design, prototype, and deploy AI‑driven applications that solve real organizational challenges.
  • Integrate large language models (LLMs), computer vision, and other AI capabilities into production environments.
  • Build and maintain APIs, pipelines, and interfaces that connect AI models to enterprise systems.
R&D Translation
  • Evaluate emerging AI tools, frameworks, and research from academia and industry.
  • Rapidly prototype promising technologies to assess feasibility and value.
  • Operationalize proven concepts into robust, user‑friendly systems.
Workflow & Automation Engineering
  • Build intelligent workflows that automate data processing, analysis, and decision support.
  • Leverage orchestration tools and MLOps practices for reliable AI lifecycle management.
  • Design systems that integrate human feedback and oversight where needed.
Collaboration & Enablement
  • Partner with data curators to ensure clean, context‑rich data fuels AI solutions.
  • Collaborate with domain experts to define use cases and success metrics.
  • Provide guidance and templates that help other teams safely and effectively adopt AI tools.
Quality, Ethics, and Governance
  • Implement responsible AI principles, including bias testing, explainability, and auditability.
  • Document model assumptions, limitations, and operational dependencies.
  • Ensure compliance with data protection and organizational security policies.
On any given day you may be called upon to:
  • Design integration patterns for hybrid HPC's…
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