Cloud AI Engineer

About this role

## Responsibilities

Peraton is seeking a Mid-Level Cloud AI Engineer to support the development, deployment, and operation of artificial intelligence and machine learning solutions across a multi-cloud government environment serving 70+ customer tenants and growing. The environment spans AWS, Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI).

Location: Remote, but must reside and perform all work within the United States

Work Hours: This position requires working online from 8:00 AM Eastern to 5:00 PM Eastern

## Day to Day Roles and Responsibilities:

### AI/ML Development and Deployment

• Build, train, and deploy machine learning models using managed AI/ML services across AWS (SageMaker, Bedrock), Azure (Azure ML, Azure OpenAI Service), GCP (Vertex AI), and OCI (OCI Data Science, OCI Generative AI)
• Develop and maintain ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment
• Implement model serving infrastructure including real-time inference endpoints, batch prediction workflows, and API integration patterns
• Support the integration of large language models and generative AI capabilities into government applications with appropriate guardrails and compliance controls

### Data Engineering and Processing

• Design and implement data processing workflows using cloud-native services for ETL, data lake management, and feature stores
• Work with structured and unstructured data sources to prepare training datasets, ensuring data quality, lineage, and governance requirements are met
• Optimize data pipelines for performance, cost, and reliability across cloud platforms

### Monitoring, Operations, and Optimization

• Monitor deployed models for performance degradation, data drift, and bias using platform-native and third-party monitoring tools
• Troubleshoot and resolve issues across AI/ML workloads, including training failures, inference latency, and resource utilization pro...