AI & Automation Engineer II — CI/CD & AI Workflows

Northrop Grumman; Chandler (AZ); On-site; USD 79,000 - 119,000; Full time

Job summary

Northrop Grumman in Chandler, AZ, is seeking an AI / Automation Engineer - Level 2 to design, develop, and maintain automation solutions that advance engineering and infrastructure. This 100% onsite role focuses on integrating AI/ML into CI/CD and containerized environments.

You will build AI-powered capabilities, orchestrate Docker/Kubernetes deployments, and implement RAG pipelines, with a strong emphasis on reliability and observability.

Qualifications

• Bachelor's degree with relevant professional experience and security clearance eligibility.
• Hands-on Linux administration, scripting, and configuration.
• Proficiency in Python or Go with software development and testing background.
• Experience with CI/CD, version control, and automated deployment pipelines.
• Experience developing and deploying AI/ML capabilities and integrating models via APIs.

Responsibilities

• Design, develop, and debug AI/ML capabilities to automate engineering and infrastructure workflows.
• Automate processes by building and maintaining CI/CD pipelines in a DevOps environment.
• Build and maintain agent orchestration with LLM services and engineering tools.
• Develop, deploy, and maintain containerized apps (Docker, Kubernetes) for portability and reliability.
• Implement RAG pipelines and vector DB integrations for intelligent retrieval and decision making.
• Provide infrastructure support and ensure high availability and observability.
• Collaborate with engineering, DevOps, and infra teams to move opportunities to production.

Skills

Linux

Python/Golang

CI/CD

APIs

LLMs

DevOps

Communication

Education

Bachelor's degree + 2 years experience

Master's degree + 1 year experience

PhD + 1 year experience

Tools

Docker

Kubernetes

LangChain

Mastra

AWS

Azure

Job description

Northrop Grumman in Chandler, AZ, is seeking an AI / Automation Engineer - Level 2 to design, develop, and maintain automation solutions that advance engineering and infrastructure. This 100% onsite role focuses on integrating AI/ML into CI/CD and containerized environments.

You will build AI-powered capabilities, orchestrate Docker/Kubernetes deployments, and implement RAG pipelines, with a strong emphasis on reliability and observability.