Sandia National Laboratories · 17 hours ago
Early Career IT Solutions Architect - Applied AI Deployment, NM/CA - Hybrid
Albuquerque, NM
Full-time
Hybrid
New Grad, Entry Level
$114K/yr - $228K/yrSandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation. They are seeking an IT Solutions Architect to translate emerging AI platform capabilities into robust enterprise solutions, focusing on AI-driven applications, integration of AI capabilities, and ensuring compliance with responsible AI principles.
GovernmentInformation TechnologyNational Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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
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
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
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
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
Design integration patterns for hybrid HPC's cloud-edge environments
Pilot production deployments of large language models, computer vision services, and agentic workflows
Author reference designs and secure deployment blueprints, incorporating enclaves, attribute-based access controls, and compliance guardrails
Build reusable templates and APIs that accelerate adoption by mission teams
Connect AI systems to enterprise data sources, dashboards, and collaboration tools
Work with MLOps pipelines for deployment and monitoring
Collaborate with IT and cybersecurity teams to deploy AI tools securely
Create documentation, tutorials, and reusable components to scale adoption
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM field of directly relevant experience, or an equivalent combination of education and experience
Ability to obtain and maintain a DOE Q clearance
Preferred
Graduate degree (M.S. or Ph.D.) with a significant applied AI deployment component
Ability to work effectively in a dynamic, interdisciplinary environment, guiding technical decisions and mentoring junior staff
Strong written and verbal communication skills, with the ability to present complex data concepts to diverse audiences
Ability to obtain and maintain an SCI clearance, which may require a polygraph test
Demonstrated expertise in building production AI workflows
Familiarity with integration patterns for hybrid HPC's cloud-edge environments
Experience with pilot production deployments of large language models, computer vision services, and agentic workflows
Familiarity with reference designs and secure deployment blueprints that incorporate enclaves, attribute-based access controls, and compliance guardrails
Experience with building reusable templates and APIs that accelerate adoption by mission teams
Experience with connecting AI systems to enterprise data sources, dashboards, and collaboration tools
Familiarity with MLOps pipelines (e.g., MLflow, Kubeflow, or Vertex AI) for deployment and monitoring
Experience with secure deployment of AI tools
Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes)
Experience implementing data governance and metadata management tools (e.g., Apache Atlas, DataHub, Collibra)
Familiarity with data policies for classified, export-controlled, or proprietary data
Benefits
Generous vacation
Strong medical and other benefits
Competitive 401k
Learning opportunities
Relocation assistance
Amenities aimed at creating a solid work/life balance
Company
Sandia National Laboratories
Sandia is a conducts research and development into the non-nuclear components of nuclear weapons.
Founded in 1945
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$4.4MKey Investors
US Department of EnergyARPA-E
2023-09-21Grant· $0.5M
2023-07-27Grant
2023-01-10Grant· $3.7M
Leadership Team
Laura McGill
Deputy Laboratories Director - Nuclear Deterrence, and Chief Technology Officer
Maria Gallardo
CFO Enterprise Risk Management Program Lead
Recent News
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