Artificial Intelligence (AI) Platform Developer (Mid-Level or Senior)

Boeing•Seattle, WA

8d•Hybrid

About The Position

The Boeing Company is seeking an Artificial Intelligence (AI) Platform Developer (Mid-Level or Senior) to join the Supply Chain AI & Analytics team within Boeing’s Enterprise AI & Data Organization. This role involves designing, building, and deploying end-to-end AI applications, connecting AI and Machine Learning (ML) model inferences to functional user interfaces. This includes prompt engineering, vector database storage, and agentic workflows, supporting the operational backbone of agentic AI solutions to ensure automation is reliable, observable, secure, and production-ready. The developer will collaborate with various teams to support agent-based workflows and their underlying systems, focusing on automation, monitoring, analysis, and operational readiness. Responsibilities include setting up development and production environments, supporting deployment, building tools for reliability and scalability, investigating technical issues, recommending process improvements, and establishing best practices for provisioning, configuration management, monitoring, and troubleshooting. The role also contributes to defining and tracking service level indicators, objectives, SLAs, and error budgets to meet performance and availability expectations. The ideal candidate is collaborative, technically proficient, and thrives in fast-paced environments emphasizing speed, stability, and continuous improvement.

Requirements

3+ years of experience with software development, deployment, maintenance, and support
Experience troubleshooting technical system issues
Experience in production environments
Must 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.

Nice To Haves

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
Strong analytical and problem-solving skills in fast-paced environments
Experience collaborating across delivery, platform, and operations teams

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