Artificial Intelligence Architect; Senior or Lead

Artificial Intelligence Architect (Senior or Lead) – Enterprise Services, Technology and Systems Data Management Office

Elevate Boeing's enterprise through AI—a role that turns data into actionable insights and drives transformational AI solutions.

• Arizona:
  Mesa
• California:
  El Segundo or Seal Beach
• Missouri:
  Hazelwood
• Pennsylvania:
  Ridley Park
• South Carolina:
  North Charleston
• Virginia:
  Arlington
• Washington:
  Everett or Renton

• Design end-to-end AI solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures.
• Lead AI initiatives from proof-of-concepts to scalable, enterprise-wide production deployments.
• Evaluate and recommend AI technologies—Deep Learning, NLP, Computer Vision, Generative AI—based on business use cases, cost, latency, and data privacy.
• Design AI architectures, LLM/RAG pipelines, and agentic workflow orchestration aligned to business cases.
• Define AI strategy, roadmaps, and technology standards; assess emerging AI/ML, agentic framework, and automation technologies for adoption.
• Balance hands‑on model development with cross‑functional coordination, ensuring compliance, monitoring, and integration practices.

• Enterprise Services Executive Leadership Team
• Data Science and IT
• Service Tower Leadership (Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight)
• External relationships with vendors and/or consultants

• 5+ years of experience in Data Engineering and/or Software Development.
• 5+ years with AI hardware and software integration.
• 5+ years of enterprise architecture experience, including cloud, security, data privacy, integration, and deployment.
• 5+ years developing information architectures and working with databases.
• 5+ years on cloud platforms such as AWS, Google Cloud, or Azure.
• 3+ years with AI/ML technologies, integrating AI insights into data architecture and analytics processes.
• 3+ years with modern programming/scripting languages (C++, Java, JavaScript, Perl, Python, Visual Basic).
• 3+ years researching and applying large language and generative AI models.

• 10+ years of related work experience or equivalent education.
• Bachelor’s or higher in data science, machine learning, applied statistics, mathematics, computer science, or engineering.
• Strong problem‑solving, attention to detail, interpersonal and communication skills.
• Continuous improvement mindset; ability to create solutions and deliver value for customers.
• Experience mentoring/coaching employees.
• Experience delivering business and data analytics solutions in manufacturing, engineering, energy, oil & gas, or similar operations environments.
• Global collaboration experience.
• Willing and able to travel up to 20% domestically.

Successful candidates must satisfy Boeing’s Conflict of Interest assessment process.

Boeing conducts drug testing for employees and post‑offer applicants per company policy.

Boeing offers a competitive Total Rewards package including base pay, variable compensation, health, flexible spending, retirement, life insurance, and paid/unpaid time off. Pay ranges vary by location and level (see summary). The position remains open until July 29, 2026.

U.S. Persons only; must meet 22 C.F.R. 120.62. Employment is U.S. Person mandated.

Relocation assistance is not offered.

No sponsorship for employment visas.

1st Shift.

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, genetic factors, veteran status, or other protected characteristics.