Overview
We are seeking a Senior Artificial Intelligence Engineer with extensive experience in agentic AI frameworks to lead the development and deployment of complex, multi-agent systems. This role focuses on blending advanced AI research with practical applications in a secure environment, and you will be responsible for the full lifecycle from design to deployment. Ideal candidates should have strong expertise in cloud infrastructure and CI/CD practices, and will Mentor other engineers in next-generation AI capabilities.
Responsibilities
- Lead the design and implementation of multi-agent AI systems using frameworks like LangGraph.
- Architect and maintain secure, scalable AWS infrastructure using Infrastructure as Code tools like Terraform.
- Drive the deployment process using CI/CD tools such as GitHub Actions and Kubernetes.
- Ensure reliability and security across all AI services, applying best practices in observability.
Requirements
- Current SC Clearance or the ability to obtain it.
- Proven experience with agentic AI projects using frameworks such as LangGraph.
- Strong knowledge of multi-agent orchestration, including memory and tool integration.
- Proficient in Python and familiar with Bash/Go for automation tasks.
- Experience with core AWS services and Infrastructure as Code (IaC) using Terraform.
- Solid understanding of CI/CD engineering practices, specifically with GitHub Actions or Argo CD.