1 day ago
Dallas, TX, USA or Seattle, WA, USASenior
Base Salary
$184k - $250k/yr
Responsibilities
- Lead the architecture and design of end-to-end AI solutions for Boeing Global Services business needs.
- Define scalable enterprise architectures integrating on-premises and cloud data, analytics, and AI capabilities.
- Translate business requirements into technical designs and evaluate cloud, hybrid, and on-premises architecture tradeoffs.
- Architect data ingestion, transformation, semantic modeling, ontology, AI model integration, workflow orchestration, and visualization patterns.
- Provide guidance across AI product design, development, testing, deployment, monitoring, production readiness, and enhancement.
- Collaborate with business stakeholders, data engineers, data scientists, software engineers, platform architects, product teams, and enterprise architecture.
- Create reusable AI frameworks, reference architectures, and solution patterns.
- Support technical governance, design reviews, performance tuning, observability, and operational support.
- Design ontology and semantic-layer approaches for improved supply-chain data usability, searchability, interoperability, and AI consumption.
- Evaluate emerging AI technologies and recommend innovations that improve performance and business value.
Requirements
- 10+ years of experience with AI and machine learning technologies and integrating AI insights into data architecture and analytics processes.
- 10+ years of experience with IT, cloud, and data architecture in large-scale hybrid cloud and on-premises environments.
- 10+ years of experience communicating complex technical concepts to non-technical users and working with senior stakeholders across organizations.
- 5+ years of experience designing, developing, and optimizing AI/ML solutions, data science workflows, and analytics methodologies.
- 5+ years of experience with AI/ML and generative AI lifecycle practices, including model development, evaluation, deployment, monitoring, change management, documentation, and data governance.
- Preferred bachelor's degree or higher in computer science, engineering, information systems, data science, or a related field.
- Preferred experience with supply chain, logistics, inventory, planning, sourcing, parts, industrial, aerospace, or similarly complex operational domains.
- Preferred experience with MLOps, LLM orchestration, vector databases, retrieval-augmented generation, model lifecycle management, semantic layers, ontologies, knowledge graphs, and enterprise data models.
- Preferred experience with agentic AI, workflow automation, AI-based decision support, data visualization, orchestration platforms, front-end delivery patterns, data governance, cataloging, lineage, security frameworks, event-driven architecture, API integration, and cloud-native design.
Benefits
- Summary base pay range is $184,450 - $249,550.
- Eligible employees may access health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance, and paid and unpaid time away from work.
- Relocation is offered based on candidate eligibility.
- The position is located in Seattle, Washington, or Dallas, Texas.
- The position is Shift 1 in the United States of America.
Categories
Solutions Engineering
About Boeing
Boeing designs, manufactures, and services commercial airplanes along with defense and space systems for airlines, governments, and space agencies worldwide. It sells aircraft and related systems plus aftermarket support and lifecycle services. Founded in 1916 and headquartered in Arlington, VA, Boeing is a public company listed on the NYSE (BA), with notable programs including the 737/787 families and work on NASA space initiatives.