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Job Details
Posted date: Jun 01, 2026
Category: Information Technology|Data Science & Analytics
Location: Seattle, WA
Estimated salary: $150,000
Range: $107,950 - $192,050
Description
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.The Boeing Company is currently seeking an Artificial Intelligence (AI) Platform Developer (Mid-Level or Senior) to join the team in Seattle,WA; Berkeley, MO; Hazelwood, MO; or Dallas, TX.
Boeing Global Services (BGS) Supply Chain AI & Analytics team within Boeing’s Enterprise AI & Data Organization is seeking an AI Platform Developer (Full Stack) to design, build and deploy end-to-end AI applications, connecting AI and Machine Learning (ML) model inferences to functional user interfaces. This spans prompt engineering, vector database storage, and agentic workflows. This role supports the operational backbone of agentic AI solutions, helping ensure that automation is reliable, observable, secure, and ready for production use. The AI Platform Developer will work closely with developers, analysts, architects, platform teams, and business stakeholders to support the rollout of agent-based workflows and the systems they depend on.
This position focuses on automation, monitoring, analysis, and operational readiness. The AI Platform Developer will help set up development and production environments, support deployment activities, and build tools and processes that improve reliability and scalability. They will investigate technical and reliability issues, recommend process improvements, and help establish best practices for provisioning, configuration management, monitoring, and troubleshooting. This role also contributes to defining and tracking service level indicators, service level objectives, Service Level Agreement (SLAs), and error budgets to ensure solutions meet performance and availability expectations. The ideal candidate is highly collaborative, technically strong, and comfortable working in fast-paced, short-duration engagements where speed, stability, and continuous improvement are essential.
Position Responsibilities:
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
Basic Qualifications (Required Skills/Experience):
3+ years of experience with software development, deployment, maintenance, and support
Experience troubleshooting technical system issues
Experience in production environments
Preferred Qualifications (Desired Skills/Experience):
5 or more years' related work experience or an equivalent combination of education and experience
Experience supporting AI-enabled systems, automated workflows, and/or AIOps capabilities
Experience with observability tools, monitoring frameworks, logging, and/or alerting solutions
Experience with configuration management, provisioning, and/or release/deployment processes
Experience improving reliability, scalability, and/or operational readiness of software platforms
Experience working with service level indicators, SLAs, and/or error budgets
Experience integrating tools and systems in enterprise environments
Experience with cloud platforms, automation tooling, and/or modern deployment practices
Experience with strong analytical and problem-solving skills in fast-paced environments
Experience collaborating across delivery, platform, and operations teams
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay & Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range for level 3: $107,950 - $156,400
Summary pay range for level 4: $132,600 - $192,050
Applications for this position will be accepted until Jun. 15, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
This position offers relocation based on candidate eligibility.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.