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

Company:

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 Boeings 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

BasicQualifications (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:

Boeingis 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: $107950 - $156400

Summary pay range for level 4: $132600 - $192050

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

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