Senior AI/Cloud Solutions Architect

Abundance Network; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

SLAC National Accelerator Laboratory is seeking an AI Specialist to lead end-to-end AI/ML development across AWS, GCP, and hybrid environments. You will collaborate with researchers, data scientists, software engineers, and IT platform teams to translate complex needs into scalable, secure AI solutions.

The role emphasizes production deployment, responsible AI practices, and the establishment of reusable platforms and governance. Strong communication and mentoring skills are required.

Qualifications

• Experience designing, building, deploying AI/ML in production cloud environments.
• Proven ability to translate complex needs into scalable AI solutions.
• Strong communication and collaboration across diverse teams.
• Familiarity with governance, security, and responsible AI practices.

Responsibilities

• Lead end-to-end development and operationalization of AI/ML across AWS/GCP/hybrid environments.
• Collaborate with researchers, data scientists, and platform teams to define requirements.
• Design data pipelines, training environments, and deployment architectures.
• Establish MLOps/LLMOps capabilities including CI/CD, monitoring, logging.
• Integrate cloud AI services with on-premises infrastructure and security controls.
• Provide technical leadership and mentorship; create runbooks and documentation.

Skills

AI/ML design

Production deployment

Python programming

Cloud platforms (AWS/GCP)

Data pipelines

MLOps/LLMOps

Security/compliance

Technical leadership

Problem solving

Communication skills

Education

Bachelor's degree in IT/CS/Data Science/Engineering

10+ years of relevant experience

Tools

Amazon Bedrock

SageMaker

Vertex AI

BigQuery

Spark

Terraform

Job description

SLAC National Accelerator Laboratory is seeking an AI Specialist to lead end-to-end AI/ML development across AWS, GCP, and hybrid environments. You will collaborate with researchers, data scientists, software engineers, and IT platform teams to translate complex needs into scalable, secure AI solutions.

The role emphasizes production deployment, responsible AI practices, and the establishment of reusable platforms and governance. Strong communication and mentoring skills are required.