Northrop Grumman has 12 active job listings related to artificial intelligence. The company is hiring for roles across several stages of AI development, with a significant focus on serving infrastructure, agents, and post-training stages, each representing 33%, 25%, and 25% of the listings respectively. Engineering is the primary function for these roles, and all positions are located in the United States. Frequently mentioned technical tags include agent orchestration, evals, and model serving, suggesting an emphasis on operationalizing AI systems. In the last 30 days, Northrop Grumman has posted 12 new AI roles.
Currently tracking 8 active AI roles, up 222% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $111k–$292k (avg $195k).
Northrop Grumman currently has 12 active AI-related roles in our index. The most common open titles are: Principal / Sr. Principal Signal / Image Processing Engineer (2), AI Systems Engineer (Engineer or Principal Engineer Level), AI Systems Engineer (Principal or Sr. Principal Level), Discrimination Algorithm Engineer (Level 3 or 4) Secret (Chandler), Engineer Electrical/Principal Electrical Engineer. Most positions are in Engineering.
Northrop Grumman's active AI hiring is concentrated in: serving infrastructure (33%), agents (25%), post-training (25%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Northrop Grumman is hiring AI talent in: United States (12 roles).
Job postings at Northrop Grumman most frequently reference: agent orchestration, evals, inference infra, model serving, agent research.
In the past 30 days, Northrop Grumman has posted 12 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff AI Software Engineer Staff AI Software Engineer at Northrop Grumman focused on developing and deploying AI solutions for defense customers, including LLMs, agentic AI, and various machine learning algorithms. The role involves leading teams, prototyping advanced AI techniques, and collaborating with cross-functional teams to integrate AI into production systems. | AgentData | 8 |
| AI Systems Engineer (Principal or Sr. Principal Level) AI Systems Engineer role at Northrop Grumman focused on incorporating AI into system-of-system architectures and developing AI-enabled systems. The role involves developing integration and test procedures, verification and validation approaches, and system operations plans. It requires creating and analyzing system models, working with various AI development environments, and applying knowledge from diverse disciplines. A key aspect is using emerging V&V approaches for multi-agent systems and defining system requirements for new AI classes. | Agent | 7 |
| AI Systems Engineer (Engineer or Principal Engineer Level) AI Systems Engineer at Northrop Grumman responsible for incorporating AI into system of system architectures and ensuring the development of AI-enabled systems. The role involves developing integration and test procedures, creating and analyzing system models, and applying knowledge from various disciplines to architect and design systems. It specifically mentions testing multi-agent systems employing algorithms for detection, decision, pattern recognition, and prediction, and defining system requirements for a new class of systems. | Agent | 7 |