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 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.
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 |
|---|---|---|
| Sr Staff Data Architect-18692 Senior Staff Data Architect/Data Scientist role focused on designing and building scalable data platforms and pipelines for AI/ML initiatives within a defense program. The role involves translating data strategy into executable designs, ensuring data trustworthiness and usability, and championing advanced analytics methods while defining standards for model validation and delivery. | DataPost-train | 7 |