3 (Chandler)

Northrop Grumman•Chandler, AZ

2d•$79,300 - $147,600•Onsite

About The Position

Northrop Grumman's Space Sector is seeking a highly motivated AI / Automation Engineer to join their dynamic team in Chandler, AZ. This role is 100% onsite and focuses on designing, developing, and maintaining automation solutions that impact engineering and infrastructure across the organization. The engineer will combine hands-on software engineering with cutting-edge AI and ML to automate engineering, DevOps, infrastructure tasks, processes, and workflows. This position sits at the intersection of AI, automation, CI/CD, and infrastructure, offering opportunities to build and integrate AI-powered capabilities into engineering workflows, design and operate robust CI/CD DevOps pipelines, and support containerized, cloud, and on-premise environments at scale. The company emphasizes an innovative and pioneering culture, encouraging intellectual curiosity and cognitive diversity.

Requirements

Bachelor’s degree with 2 years of professional experience – OR – Master’s degree with 1 years of professional experience – OR – PhD with 1 year of professional experience (for Level 2).
Bachelor’s degree with 5 years of professional experience – OR – Master’s degree with 3 years of professional experience – OR – PhD with 1 year of professional experience (for Level 3).
Must have the ability to obtain and maintain a U.S. Government DoD Secret security clearance.
Hands-on experience working in Linux environments, including scripting and system configuration.
Proficiency in Python or Go (Golang) with a strong background in software development, debugging, and testing.
Experience with CI/CD, version control systems, and automated pipelines for application deployment.
Experience developing and deploying AI and/or Machine Learning (ML) capabilities.
Experience with APIs and integrating models into applications or agentic frameworks ( e.g. Mastra, LangChain, or similar toolkits) for building autonomous agents.
Experience developing and hosting AI/ML models in cloud-based environments (e.g., AWS, Azure) and/or on-premise containerized infrastructure.
Experience with Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Strong understanding of Large Language Models (LLMs), including concepts such as fine-tuning, hosting, and inference optimization.
Demonstrated ability to independently own and deliver complex automation and/or AI solutions from concept through deployment (for Level 3).

Nice To Haves

Active DoD Secret Security Clearance or higher
At least 3 years of related professional experience

Responsibilities

Design, develop, document, test, and debug AI and ML capabilities to automate engineering and infrastructure workflows.
Automate processes by building and maintaining CI/CD pipelines and AI-enabled tooling within a DevOps environment.
Build and maintain agent orchestration frameworks that integrate with LLM services, system services, and engineering tools.
Develop, deploy, and maintain containerized applications (e.g., Docker, Kubernetes) to ensure portability, scalability, and reliability.
Implement and support RAG pipelines and vector database integrations to enable intelligent retrieval and decision-making.
Provide infrastructure support by troubleshooting issues, optimizing performance, and maintaining high availability and observability of systems.
Collaborate closely with engineering, DevOps, and infrastructure teams to identify automation opportunities and bring them to production.
Communicate clearly with technical and non-technical stakeholders, both in writing and verbally.
Perform other related duties as assigned.