Senior Artificial Intelligence (AI) Solutions Architect

Job 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 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.
Position 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

Basic Qualifications (Requires Skill/Experience):

• 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

Preferred Qualifications (Desired Skills/Experience)

• 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

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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 are 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: $184,450 - $249,550
Applications for this position will be accepted until Jun. 16, 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.
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