SLAC National Accelerator Laboratory · 21 hours ago
AI Specialist - Cloud & AI Solutions
Menlo Park, CA
Full-time
Onsite
Senior Level, Lead/Staff
$191K/yr - $214K/yr
10+ years expSLAC National Accelerator Laboratory is seeking a highly skilled AI Specialist to join their dynamic IT team. In this role, you will design, build, deploy, and operationalize AI/ML solutions on AWS, collaborating with cross-functional teams to drive innovation and optimize performance.
Advanced MaterialsBiotechnologyGovernmentLife Science
Responsibilities
Lead the end-to-end development of AI/ML solutions on AWS: from problem definition, data ingestion, feature engineering, model development/training, to deployment and monitoring in production
Collaborate with business stakeholders, data scientists, software engineers, and platform teams (on-premises + cloud) to translate business requirements into scalable, performant AI solutions
Design and implement data pipelines, orchestration, model training, evaluation, and deployment leveraging AWS native services (e.g., SageMaker, EC2, S3, Glue, Lambda, Athena, Redshift) and integrate with on-premises or hybrid infrastructure
Optimize and fine-tune machine learning models (supervised, unsupervised, deep learning, NLP, computer vision) to maximize accuracy, efficiency, and cost-effectiveness
Deploy AI/ML models into production environments: set up CI/CD, MLOps practices, automated monitoring, model-drift detection, logging, alerting and lifecycle management
Ensure robust, secure, scalable, compliant architecture of AI systems in a cloud context (AWS best practices for security, cost optimization, IAM, networking, governance)
Work with DevOps/platform teams to ensure smooth integration of AI workloads into the overall cloud platform, including hybrid on-premises components (given your dual-environment experience)
Provide guidance, mentoring, and best-practice evangelism in AI/ML, cloud architecture, MLOps, and AWS services to other team members and stakeholders
Stay up to date on new and emerging AI/ML and AWS technologies, evaluate their applicability, and make recommendations for adoption or a proof of concept
Prepare and deliver technical presentations, documentation, model-explainability reports, and training workshops for diverse audiences (technical and non-technical)
Maintain and uphold ethical AI practices, ensuring model transparency, fairness, accountability, interpretability, and compliance with institutional policies
Qualification
Required
Bachelor's degree in Information Technology, or a related field, and ten years of increasingly technical work experience, or a combination of education and relevant experience
Proven experience with AWS services for ML/AI (for example: SageMaker, EC2, S3, Glue, Athena, Lambda, Redshift, etc)
Strong programming skills in Python (and/or R/Java/Scala) and experience with ML/AI frameworks
Experience with data engineering: data ingestion, cleaning, transformation, feature engineering, large-scale datasets, data warehousing/Hadoop/Spark as applicable
Experience deploying models into production, establishing ML operational pipelines (CI/CD, monitoring, drift detection, logging), and maintaining them
Understanding of cloud architecture best practices (AWS), including networking, security (IAM, encryption, VPC, roles), cost optimization, and performance tuning
Strong analytical and problem-solving skills, with the ability to work in cross-functional teams and interact with stakeholders at various levels
Excellent communication and documentation skills - ability to explain complex technical concepts to business and technical audiences
Demonstrated self-learning and adaptability in fast-moving AI/ML and cloud environments
Company
SLAC National Accelerator Laboratory
SLAC National Accelerator Laboratory is the U.S. Department of Energy's national lab at Stanford University. It is a sub-organization of Stanford University.
1001-5000 employees
H1B Sponsorship
SLAC National Accelerator Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (3)
2023 (59)
2022 (69)
2021 (68)
2020 (41)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of EnergyU.S. Department of Homeland Security
2023-09-27Grant
2023-08-16Grant
2023-01-20Grant
Leadership Team
Adile Safa
Office of the CFO
Bobbi Woody-Mistriel
Executive Assistant To Chief Information Officer
Recent News
2025-12-27
2025-12-13
Company data provided by crunchbase