Artificial Intelligence Platform Developer – Mid-Level/Senior

Boeing

AI Platform Developer at Boeing focusing on building and deploying AI applications across multiple locations. Collaborating with teams to enhance reliability and operational readiness of AI solutions.

Posted 6/1/2026full-timeSeattle • Montana, Texas, Washington • 🇺🇸 United StatesSenior💰 $107,950 - $156,400 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Build, test, and deploy end-to-end AI & Analytics applications, connecting AI/ML model inferences to functional user interfaces
Bridge standard web architecture with machine learning operations (MLOps), handling model deployment and data pipelines
Work with development teams and product managers to create software solutions
Design client-side and server-side architecture
Build the front-end of applications through visually appealing, responsive designs
Develop, manage, and optimize databases
Write and consume effective REST Application Programming Interfaces (APIs), troubleshoot, debug, and upgrade software
Investigate technical, operational, and reliability issues during development and implementation
Build and integrate software tools that improve system reliability, observability, and scalability
Support set up of development and production environments, including deployment-related activities
Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
Create and recommend process improvements that increase stability, efficiency, and operational readiness
Contribute to the ongoing improvement of operational processes for automated agent workflows

Requirements

What you’ll need

3+ years of experience with software development, deployment, maintenance, and support
Experience troubleshooting technical system issues
Experience in production environments
5 or more years' related work experience or equivalent combination of education and experience (preferred)
Experience supporting AI-enabled systems, automated workflows, and/or AIOps capabilities (preferred)
Experience with observability tools, monitoring frameworks, logging, and/or alerting solutions (preferred)
Experience with configuration management, provisioning, and/or release/deployment processes (preferred)
Experience improving reliability, scalability, and/or operational readiness of software platforms (preferred)
Experience working with service level indicators, SLAs, and/or error budgets (preferred)
Experience integrating tools and systems in enterprise environments (preferred)
Experience with cloud platforms, automation tooling, and/or modern deployment practices (preferred)
Strong analytical and problem-solving skills in fast-paced environments (preferred)

Benefits

Comp & perks

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI applicationsAnalytics applicationsMLOpsREST APIsdatabase managementsoftware deploymenttroubleshootingconfiguration managementobservability toolsautomation tooling

Soft Skills

analytical skillsproblem-solving skillscollaborationprocess improvementcommunication