Artificial Intelligence Architect (Senior or Lead)

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

Boeing is the worlds 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.

This position sits within Boeings Enterprise Services organization. Enterprise Services is a team of 2500 employees whose collective mission is to enable the build of Boeings 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 anArtificial 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
• Defines AI strategy roadmaps and technology standards by evaluating emerging Artificial Intelligence/ Machine Learning (AI/ML) agentic framework automation technologies and make 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

Key Relationships & Stakeholders:

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

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 teams 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 enterprise architecture experience including but not limited to cloud architecture security data privacy integration and deployment
• 5 years of experience developing information architectures and working with databases
• 5 years of experience with Cloud hosted platforms such as AWS Google Cloud Platform or Azure
• 3 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
• 3 years of experience with modern programming and scripting languages such as C Java JavaScript Perl Python Visual Basic
• 3 years of experience researching and applying large language and generative AI models

Preferred Qualifications (Desired Skills/Experience):

• 10 years of related work experience or an equivalent combination of education and experience
• Bachelors of Science degree or higher from an accredited course of study in data science machine learning applied statistics mathematics computer science or engineering
• Experience with problem-solving skills and attention to detail
• Experience with interpersonal and communication skills
• Experience with a continuous improvement mindset
• Experience in taking problems creating solutions and executing to deliver value for customers
• Experience mentoring and coaching employees
• Experience delivering business and data analytics solutions in a manufacturing engineering energy sector oil and gas industry or another type of operations environment is a plus
• Experience in collaborating across the globe
• Willing and able to travel up to 20% domestically

Conflict of Interest:

Successful candidates for this job must satisfy the Companys 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 is 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 for: CA PA VA WA (Senior Level 4): $153000 - $207000

Summary pay range for: CA PA VA WA (Lead Level 5): $184450 - $249550

Summary pay range for: AZ MO SC (Senior Level 4): $142800 - $193200

Summary pay range for: AZ MO SC (Lead Level 5): $172550 - $233450

Language Requirements:

Education:

Relocation:

Export Control Requirement:

Safety Sensitive:

Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

Shift:

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