Senior Artificial Intelligence Solutions Architect

Boeing

Senior AI Solutions Architect designing scalable AI solutions for Boeing's supply chain. Collaborating with various teams to integrate AI technologies into operational processes.

Posted 6/1/2026full-timeSeattle • Texas, Washington • 🇺🇸 United StatesSenior💰 $184,450 - $249,550 per yearWebsite

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Lead the architecture and design of end-to-end AI solutions supporting BGS Supply Chain business needs
Define solution architectures that integrate on-prem and cloud-based data, analytics, and AI capabilities into scalable enterprise patterns
Translate business requirements into technical designs for AI-enabled supply chain solutions
Architect the full solution lifecycle from raw data and governed data products through data modeling, ontology, AI model development, orchestration, and visualization
Design solutions using ML, Generative AI, Agentic AI, deep learning, optimization, and other advanced AI techniques as appropriate to the use case
Partner with supply chain business stakeholders to identify high-value use cases and shape feasible technical solutions
Collaborate with data engineers, data scientists, software engineers, platform architects, and product teams to ensure end-to-end solution integrity
Define solution patterns for data ingestion, transformation, semantic modeling, ontology design, AI model integration, workflow orchestration, and user experience delivery
Ensure solutions are scalable, maintainable, secure, and aligned to Boeing architecture, cyber, governance, and compliance standards
Evaluate technical tradeoffs across cloud, hybrid, and on-prem environments and recommend the best-fit architecture for business needs
Provide architectural guidance for AI product teams throughout design, build, testing, deployment, monitoring, and enhancement phases
Support the creation of reusable frameworks, reference architectures, and patterns for supply chain AI solutions
Work with front-end and product teams to ensure insights and AI outputs are delivered through intuitive interfaces, dashboards, copilots, or decision-support tools
Help define ontology and semantic layer approaches that improve usability, searchability, interoperability, and AI consumption of supply chain data
Participate in technical governance, design reviews, and architecture decision forums
Support production readiness, performance tuning, observability, and operational support for deployed AI solutions
Stay current on emerging AI technologies and recommend innovations that can improve supply chain performance and business value

Requirements

What you’ll need

10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies
10+ years of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment
10+ years of experience communicating with technical experts and explaining difficult technical concepts to non-technical business users
10+ years of experience working across organizations and interfacing with key stakeholders, including senior leaders
5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies
5+ years of experience with AI/ML and generative AI lifecycle concepts, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance
5+ years of experience designing, developing & optimizing AI/ML solutions, data science workflows, and analytics methodologies
Bachelor's degree or higher in computer science, engineering, information systems, data science, or related field

Benefits

Comp & perks

health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
programs that provide for both paid and unpaid time away from work

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Artificial Intelligence (AI)Machine Learning (ML)Generative AIdeep learningdata modelingontology designworkflow orchestrationdata ingestiondata transformationAI model integration

Soft Skills

communicationcollaborationstakeholder engagementtechnical governanceproblem-solvingleadershipadaptabilitycritical thinkinginterpersonal skillsexplanation of technical concepts

Certifications

Bachelor's degree in computer scienceBachelor's degree in engineeringBachelor's degree in information systemsBachelor's degree in data science