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Artificial Intelligence Architect; Senior or Lead

Job in Arlington, Arlington County, Virginia, 22201, USA
Listing for: Boeing
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 153000 - 249550 USD Yearly USD 153000.00 249550.00 YEAR
Job Description & How to Apply Below
Company and Location

Artificial Intelligence Architect (Senior or Lead) Company:
The Boeing Company The Boeing Company is seeking an Artificial Intelligence Architect (Senior or Lead) to support their Enterprise Services Technology and Systems Data Management Office team in one of the following locations:

  • Arizona:
    Mesa
  • California:
    Huntington Beach, Long Beach or Seal Beach
  • Missouri:
    Hazelwood
  • Pennsylvania:
    Ridley Park
  • South Carolina:
    North Charleston
  • Virginia:
    Arlington
  • Washington:
    Everett or Renton
About the Company

Boeing is the world's largest aerospace company and leading manufacturer of commercial airplanes and defense, space and security systems. At Boeing, we innovate and collaborate to make the world a better place.

About the Role

This position sits within Boeing’s Enterprise Services organization. Enterprise Services is a team of 2,500+ employees whose collective mission is to enable the build of Boeing’s products. Enterprise Services provides strategic partnership and support to all Boeing business units through multiple service towers – creating outsized impact and value across the Enterprise. The individual in this role would be a part of Enterprise Services Technology and Systems Data Management team.

We are looking for an Artificial Intelligence Architect (Senior or Lead) to support our transformation journey. This person should be curious, looking for insights in data that can turn into actionable and measurable outcomes, and a storyteller at their core.

Position Responsibilities
  • Designs end-to-end Artificial Intelligence (AI) solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures
  • Leads the development of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production deployments
  • Evaluates and recommends AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI, based on business use cases, cost, latency, and data privacy considerations
  • Leads design of AI architectures, Large Language Model/Retrieval-Augmented Generation (LLM/RAG) pipelines, and agentic workflow orchestration aligned to business use cases
  • Designs and builds low-code and no-code abstraction layers, visual workflow nodes, and template engines for agent creation
  • Defines AI strategy, roadmaps, and technology standards by evaluating emerging Artificial Intelligence/ Machine Learning (AI/ML), agentic framework, automation technologies, and makes recommendations for adoption within the business
  • Balances hands-on AI model development with cross-functional coordination, ensuring knowledge-based AI adoption through robust compliance, monitoring, and integration practices
  • Builds functional PoCs and minimum viable products (MVPs) to validate architectural assumptions and technical viability
Key Relationships & Stakeholders
  • Enterprise Services Executive Leadership Team
  • Data Science and Information Technology (IT) Service Tower Leadership (Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight)
  • Build external relationships with vendors and/or consultant parties
Location & Work Style

This position is hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team’s discretion and could potentially change in the future.

Basic Qualifications (Required Skills/Experience)
  • 5+ years of experience Data Engineering and/or Software Development
  • 5+ years of experience with Artificial Intelligence (AI) hardware and software integration
  • 5+ years of experience with enterprise architecture experience, including but not limited to cloud architecture, security, data privacy,…
Position Requirements
10+ Years work experience
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