Boeing currently has 16 active job listings related to artificial intelligence. The hiring activity is most concentrated in the "application" stage, accounting for 31% of the roles, followed by "data" at 25%. Engineering is the dominant function, with 12 positions. Frequent technology tags include model_serving, rag, and inference_infra, suggesting a focus on deploying and operationalizing AI models. In the last 30 days, Boeing posted 35 new AI roles.
Currently tracking 9 active AI roles, up 41% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $95k–$235k (avg $168k).
Boeing currently has 20 active AI-related roles in our index. The most common open titles are: AI Application Engineer, Artificial Intelligence (AI) Platform Developer (Mid-Level or Senior), Data Scientist (Data Science), Experienced or Senior Greenfield Software Developer, Mandatory Bachelor/Master Thesis - Future Flight Operations Research m/f/d. Most positions are in Engineering and Product.
Boeing's active AI hiring is concentrated in: application (40%), agents (40%), serving infrastructure (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Boeing is hiring AI talent in: United States (16 roles), Canada (2 roles), South Korea (1 role), Germany (1 role).
Job postings at Boeing most frequently reference: model serving, agent orchestration, inference infra, rag, llm observability.
In the past 30 days, Boeing has posted 37 new AI-related roles. That is a +106% change versus the prior 30 days (18 → 37).
| Title | Stage | AI score |
|---|---|---|
| Experienced or Senior Greenfield Software Developer Experienced or Senior Software Developer at Boeing Vancouver focused on building full-stack, production-grade applications. This role involves modernizing existing systems and creating new ones, with a strong emphasis on integrating AI, ML, and LLM capabilities into client applications, including agentic workflows and RAG pipelines. The developer will also set up CI/CD pipelines, mentor other developers, and work within cloud-native architectures. | Agent | 7 |