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Currently tracking 9 active AI roles, up 2453% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $95k–$235k (avg $168k).

Hiring
9 / 15
Momentum (4w)
↑+1349 +2453%
1404 opens last 4w · 55 prior 4w
Salary range · avg $168k
$95k–$235k
USD · disclosed roles only
Tracked since
2w ago
last role yesterday
Hiring velocityscroll left for older weeks
2 new roles
Nov 22
1 new role
Jan 10
1 new role
Nov 7
2 new roles
24
2 new roles
Dec 15
4 new roles
Jan 19
2 new roles
26
5 new roles
Feb 16
2 new roles
23
3 new roles
Mar 2
3 new roles
9
4 new roles
16
5 new roles
23
12 new roles
30
17 new roles
Apr 6
21 new roles
13
139 new roles
20
431 new roles
27
600 new roles
May 4
234 new roles
11
Boeing

Boeing

Aerospace · Aerospace

HQ
Chicago, US
Founded
1916
Size
170,000+
Website
boeing.com

Jobs (4)

9 AI · 1045 total active
FilteredStageServe×
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Active onlyAI only (≥ 7)
Stage
AllData · 5Post-train · 5Serve · 4Agent · 7Ship · 1
Function
AllEngineering · 1266Product · 216Research · 8
Country
AllUnited States · 1269United Kingdom · 65India · 37Poland · 15Brazil · 13Germany · 13Ukraine · 8Australia · 6Canada · 6South Korea · 6Japan · 5Singapore · 4Belgium · 3Ireland · 2Azerbaijan · 1China · 1Indonesia · 1Italy · 1Malaysia · 1Mexico · 1Saudi Arabia · 1Spain · 1Thailand · 1
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TitleStageFunctionLocationFirst seenAI score
Senior Data Scientist
Senior Data Scientist at Boeing Defense, Space & Security (BDS) for a proprietary program. The role involves designing and leveraging digital data solutions to enhance production and weapon system operational effectiveness. Responsibilities include collaborating with cross-functional teams, building data analysis systems, providing technical leadership, implementing and deploying ML models, incorporating domain knowledge, evaluating/improving models, ensuring data security/compliance, staying updated on AI/aerospace advancements, communicating findings, mentoring junior scientists, and developing best practices. Requires a Bachelor's degree, 9 years of experience in data science/AI/ML, programming proficiency (Python, Julia, R, C++, C#, Java), and technical team leadership experience. Preferred qualifications include an advanced degree, NLP experience, SQL/NoSQL experience, data visualization proficiency, deep learning framework experience (PyTorch, TensorFlow), generative AI/LLM experience, cloud integration experience, agile development experience, MLOps experience, and cloud computing experience (Azure, AWS). Requires an active U.S. Secret Security Clearance.
Serve
Post-train
Engineering
Hazelwood, MO +1
2w ago
7
Senior Data Scientist
Senior Data Scientist at Boeing to lead the development and deployment of advanced predictive and prescriptive analytics solutions. The role involves defining ML/AI strategies, building scalable architectures (MLOps, AIOps), designing and optimizing models, and integrating them into production systems. It also includes developing Generative AI use cases (LLMs, RAG, Agents, fine-tuning, vector databases, prompt engineering) and leading organizational change for analytics adoption.
ServeAgentEngineeringSeattle, WA +12w ago7
Architecture and Platform Manager
Boeing is seeking an IT Manager to lead the delivery, operation, and evolution of their Data and AI platform on the cloud. This role involves managing data architecture, engineering, governance, analytics, and ML/AI use cases, with a focus on cloud infrastructure, MLOps, and stakeholder alignment. The manager will oversee platform strategy, roadmap, and execution, ensuring reliability, security, and cost-efficiency, while also managing direct reports and organizational change for new platform adoption.
ServeEngineeringUSA - Seattle, WA, USA - Ridley Park, PA, USA - Charleston, SC, USA - Mesa, AZ1w ago5
Machine Learning Infrastructure Engineer (Associate or Experienced)
Boeing is hiring an Infrastructure Engineer to support their Artificial Intelligence Innovation Lab. The role involves supporting Linux and Windows systems, cloud and virtualization platforms, container orchestration (Kubernetes), secure networking, and ML Ops tooling. The engineer will assist with the deployment and optimization of infrastructure for AI/ML workloads, including generative AI models, and collaborate with DevOps teams on CI/CD pipelines.
ServeEngineeringHuntsville, AL2w ago5