Senior AI/ML Platform Engineer – Cloud & On-Prem

SLAC National Accelerator Laboratory; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work options

Job summary

SLAC National Accelerator Laboratory seeks an AI Specialist to design, develop, and operationalize AI/ML solutions across AWS, GCP, and hybrid environments. You will collaborate with researchers, engineers, and platform teams to translate complex needs into secure, scalable AI services and responsible AI governance.

The role emphasizes production readiness, reusable platforms, and hands-on leadership in cloud, data, and AI capabilities, with a strong focus on security and operational excellence.

Qualifications

• Bachelor's degree in information technology, computer science, data science, engineering, or a related field plus ten years of experience or equivalent.
• Demonstrated experience designing, building, deploying, and supporting AI/ML solutions in production cloud environments.
• Experience with AWS and GCP AI/ML and data services across multiple platforms.

Responsibilities

• Lead end-to-end development and operationalization of AI/ML solutions across AWS, GCP, and hybrid environments.
• Partner with researchers, stakeholders, data scientists, and platform teams to translate requirements into scalable AI solutions.
• Design and implement data pipelines, orchestration workflows, and model deployment architectures in cloud environments.
• Develop and support generative AI solutions including retrieval-augmented generation and AI agents and workflows.
• Establish MLOps/LLMOps capabilities including CI/CD, automated testing, monitoring, and lifecycle management.
• Collaborate with cybersecurity, governance, and legal teams to assess data sensitivity and AI risks.

Skills

AWS

GCP

Python

Education

Bachelor's degree

Tools

Vertex AI

SageMaker

Kubernetes

Job description

SLAC National Accelerator Laboratory seeks an AI Specialist to design, develop, and operationalize AI/ML solutions across AWS, GCP, and hybrid environments. You will collaborate with researchers, engineers, and platform teams to translate complex needs into secure, scalable AI services and responsible AI governance.

The role emphasizes production readiness, reusable platforms, and hands-on leadership in cloud, data, and AI capabilities, with a strong focus on security and operational excellence.