Early Career Artificial Intelligence (AI) Infrastructure

• 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, hardware, 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 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.

You will be part of a multi-disciplinary, mission-focused team delivering foundational data capabilities for transformative AI systems in national security, energy, and critical materials. Occasional travel may be required. If you're passionate about building the data backbone for next-generation AI at scale, we want to hear from you

*Applicants on this posting may be interviewed by multiple organizations at Sandia National Laboratories.

**The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary. Salary Range

$102,400 - $199,700, This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related STEM discipline or an equivalent combination directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills and ability to perform independent research and development
• Ability to obtain and maintain a DOE Q clearance, The ideal R&D S&E Artificial Intelligence candidate for Sandia National Laboratories will in addition possess the following:
• Graduate degree (M.S. or Ph.D.) in a relevant computationally-intensive discipline where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation).
• Experience in developing software and AI systems for enterprise and national security applications.
• Demonstrated software development skills and familiarity with modern software development practices.
• Proven ability to work and communicate effectively in a collaborative and interdisciplinary team environment.

Also, for this posting we are seeking individuals with the following experience:

• 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
• Experience designing and deploying Zero Trust architectures using modern Identity and Access Management (IAM) policies
• 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 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

*Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

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://www.sandia.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. You will join the Infrastructure Pillar team to design, deploy, and operate the unified compute-and-data fabric that underpins all mission workflows from AI model training and simulation steering to real-time inference at experimental and production facilities. We anticipate multiple hires for the Infrastructure Pillar 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!