Overview
Hybrid
Up to $100
Accepts corp to corp applications
Contract - Independent
Contract - W2
Skills
AI Engineer
Implementing AI resources in cloud
Monitoring and maintaining cloud AI resources
Cloud migrations
Backup and recovery management
Troubleshooting production applications
Automated patch management
Security patching
Disaster recovery planning
Networking knowledge
Guidance on AI resource implementation
Azure
.NET
Java
SQL
Oracle
ERP systems
CI/CD
Infrastructure as Code (IaC)
SCCM
SCOM
Security tools
OSI layer/network protocols.
Job Details
Role: AI Engineer (Hybrid)
Location: Mechanicsville, VA (In-Person)
Job Type: Contract (Long Term)
Note: Local candidates only.
Job Description:
We are seeking an AI Engineer IV to implement, maintain, and manage cloud infrastructure for AI solutions, including configuring and maintaining monitoring, Infrastructure as Code (IaC), and CI/CD pipelines.
Responsibilities:
- Provide guidance on the implementation and maintenance of AI resources in cloud environments.
- Perform regular patching and updates to ensure system security and stability.
- Oversee backup operations and recovery processes in critical environments.
- Plan and execute cloud migrations, moving workloads from on-premises to cloud.
- Support and troubleshoot production applications across multiple technologies (.NET, Java, SQL, Oracle, ERP systems, etc.).
- Use security tools to manage vulnerability remediation.
- Utilize tools for automated patch management and deployment.
- Develop disaster recovery (DR) plans to minimize downtime and prevent data loss.
- Apply strong networking knowledge, including OSI layers and network protocols.
Nice-to-Have:
- Microsoft certifications (e.g., Azure Administrator Associate, Azure Solutions Architect, Azure AI Engineer Associate)
- Networking certifications (e.g., Network+, CCNA)
Required Skills:
- Implementing, monitoring, and maintaining cloud AI resources
- Performing regular patching and updates for security and stability
- Managing backup and recovery processes in critical environments
- Planning and executing cloud migrations
- Supporting and troubleshooting production applications
- Automated patch management using tools like SCCM & SCOM.
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