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Company: SAIC
Location: Fort Belvoir, VA
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

Description

SAIC is seeking a Senior Cloud Engineer to join our team at Fort Belvoir, Virginia. 

The Senior Cloud Engineer will be responsible for designing, implementing, and managing cloud-based infrastructure to support machine learning (ML) and artificial intelligence (AI) workloads within the Army Intelligence & Security Enterprise (AISE). This role will focus on ensuring scalability, security, and efficiency of cloud environments while enabling seamless integration of AI/ML solutions. The Senior Cloud Engineer will collaborate with data scientists, ML engineers, and other stakeholders to deliver mission-critical cloud capabilities. 

Job Duties: 

  • Design and implement cloud-based infrastructure to support AI/ML workloads and real-time analytics. 
  • Optimize cloud environments for scalability, security, and cost-efficiency. 
  • Collaborate with ML engineers and data scientists to deploy and manage machine learning models in the cloud. 
  • Implement Infrastructure as Code (IaC) practices using tools like Terraform or CloudFormation. 
  • Ensure compliance with security protocols and governance policies for cloud-based systems. 
  • Monitor and troubleshoot cloud infrastructure to ensure high availability and performance. 
  • Stay updated on advancements in cloud technologies and best practices for AI/ML workloads. 
  • Support the operational integration of AI/ML solutions to enhance intelligence capabilities.

Qualifications

Required Education:

Bachelors and five (5) years or more experience; Masters and three (3) years or more experience; PhD or JD and zero (0) years or more experience; four (4) years of experience considered in lieu of degree. 

Qualifications:

  • Experience with cloud-based AI/ML platforms and tools (e.g., AWS, Azure, Google Cloud). 

  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). 

  • Knowledge of Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation). 

  • Experience with leveraging Large Language Models (LLMs) such as GPT, or similar frameworks for tasks like natural language processing (NLP), text generation, summarization, or conversational AI. 

  • Excellent problem-solving and collaboration skills. 

 

Desired Qualifications: 

  • Advanced degree (Master's or PhD) in Cloud Computing, Artificial Intelligence, or a related field. 

  • Experience with hybrid cloud environments and edge computing.

  • Familiarity with Army Intelligence Enterprise data requirements and workflows. 

  • Knowledge of MLOps practices and tools for deploying and maintaining AI/ML models.

 

Clearance:

Candidates must have an active TS/SCI with the ability to obtain a TS/SCI with Poly



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