Onsite AI Automation Engineer – LLM & RAG, CI/CD

Northrop Grumman; Chandler (AZ); On-site; USD 98,000 - 148,000; Full time

Benefits offered by this job

Total Rewards package

Job summary

Northrop Grumman in Chandler, AZ, seeks an AI / Automation Engineer to design and deploy AI-enabled automation that integrates LLM services and agentic workflows into engineering and infra. The role focuses on on‑premise and classified environments with containerization and CI/CD to ensure reliable delivery.

The ideal candidate will bring Python or Go expertise, experience with Docker and Kubernetes/OpenShift, and a strong background in AI/ML deployment and observability. Onsite work is required.

Qualifications

• Bachelor's degree with 5+ years of related experience or equivalent.
• Experience integrating and deploying LLM-enabled apps, including agentic workflows and RAG.
• Experience with containerized on-premises environments and cloud exposure is valued.

Responsibilities

• Design, develop, document, test, and debug AI-enabled automation capabilities.
• Build, deploy, and support agent orchestration and RAG solutions.
• Troubleshoot AI/automation, improve observability and reliability.
• Develop and maintain containerized apps with Docker; manage CI/CD pipelines.
• Collaborate with software, DevOps, and mission stakeholders to productionize solutions.

Skills

LLM integration

Agent orchestration

RAG pipelines

Python

Go (Golang)

Linux scripting

CI/CD fundamentals

APIs

Education

Bachelor's degree with 5 years of experience

Master's degree with 3 years of experience

PhD with 1 year of experience

Tools

Docker

Kubernetes/OpenShift

LangChain

Mastra

GitLab/Jenkins

Job description

Northrop Grumman in Chandler, AZ, seeks an AI / Automation Engineer to design and deploy AI-enabled automation that integrates LLM services and agentic workflows into engineering and infra. The role focuses on on‑premise and classified environments with containerization and CI/CD to ensure reliable delivery.

The ideal candidate will bring Python or Go expertise, experience with Docker and Kubernetes/OpenShift, and a strong background in AI/ML deployment and observability. Onsite work is required.