Overview
We are seeking a Senior Artificial Intelligence Engineer with extensive commercial experience in agentic AI frameworks to spearhead the development and deployment of complex multi-agent systems. This role will blend cutting-edge AI research with hands-on management of mission-critical infrastructure, providing the opportunity to influence technical direction and mentor junior engineers. The successful candidate will take full ownership of the AI pipeline lifecycle, ensuring robust and secure solutions are delivered in high-stakes environments.
Responsibilities
- Lead the design and implementation of multi-agent AI systems utilizing frameworks such as LangGraph.
- Architect and optimize AI pipelines for scalability and automation involving multiple agents.
- Implement and maintain AWS cloud infrastructure using tools like Terraform for Infrastructure as Code.
- Oversee system security measures and ensure comprehensive observability for AI services.
- Drive zero-touch deployment processes using CI/CD tools like GitHub Actions and Kubernetes.
- Mentor and guide other engineers on best practices in agentic AI.
Requirements
- Current SC Clearance or the ability to obtain it.
- Demonstrated experience with agentic AI projects using LangGraph or similar frameworks.
- Proficient in Python for AI development and familiarity with Bash or Go for automation tasks.
- In-depth knowledge of AWS core services such as EC2, VPC, and IAM.
- Experience with Terraform for Infrastructure as Code and Docker for containerization.
- Strong understanding of CI/CD practices, specifically with tools like GitHub Actions or Argo CD.
- Ability to architect multi-region cloud solutions with a focus on security and reliability.