Senior Artificial Intelligence (AI) Solutions Architect

Boeing•Seattle, WA

1d•$184,450 - $249,550•Hybrid

About The Position

The Boeing Company is looking for a highly experienced and detail-oriented Senior Artificial Intelligence (AI) Solutions Architect to join the team in Seattle, WA or Dallas, TX. The Senior Artificial Intelligence (AI) Solution Architect, Boeing Global Services (BGS) Supply Chain will lead the end-to-end technical architecture for AI-enabled solutions across the BGS Supply Chain organization. This role is responsible for designing scalable, secure, and production-ready Artificial Intelligence (AI) solutions that span the full data and technology ecosystem, including on-premises and cloud environments. This individual will work closely with business leaders, product managers, data engineers, data scientists, platform teams, and enterprise architecture to translate raw data and data products into AI capabilities such as machine learning, generative AI, Agentic AI, deep learning, decision intelligence, and advanced automation. The ideal candidate will bring deep technical expertise in enterprise architecture, data and AI platforms, and supply chain use cases, with the ability to design end-to-end solutions from data ingestion through modeling, ontology, orchestration, and front-end visualization.

Requirements

10+ years of experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, including the ability to integrate AI-driven insights into data architecture and analytics processes
10+ years s 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

Nice To Haves

Bachelor’s degree or higher in computer science, engineering, information systems, data science, or related field
Experience architecting AI solutions for supply chain, logistics, inventory, planning, sourcing, or parts domains
Experience with ML platforms, Machine Leaning Operations (MLOps)
Large Language Model (LLM) orchestration, vector databases, retrieval-augmented generation, and model lifecycle management
Experience designing semantic layers, ontologies, knowledge graphs, or enterprise data models
Experience with Agentic AI, workflow automation, or AI-based decision support solutions
Experience with data visualization tools, orchestration platforms, and front-end delivery patterns
Experience with enterprise data governance, cataloging, lineage, and security frameworks
Experience with event-driven architecture, API-based integration, and scalable cloud-native design
Strong understanding of data architecture, APIs, integration patterns, and production engineering concepts
Experience supporting industrial, aerospace, or similarly complex operational environments

Responsibilities

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