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
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.
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
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 enterprise architecture experience, including but not limited to cloud architecture, security, data privacy, integration, and deployment
- 5+ years of experience developing information architecture 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
- Experience training machine learning models in a cloud computing environment such as AWS, Google Cloud Platform, Microsoft Azure, etc. and fundamental knowledge in Machine Learning Operations (MLOps)
Preferred Qualifications (Desired Skills/Experience): - 10+ years of related work experience or an equivalent combination of education and experience
- Bachelor's of Science degree or higher from an accredited course of study in data science, machine learning, applied statistics, mathematics, computer science or engineering
- Experience working with or building on top of visual automation and conversational platforms (e.g., Microsoft Copilot Studio, Microsoft Power Platform, AWS Kiro, or similar enterprise low-code tools).
- 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 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 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): $153,000 - $207,000
Summary pay range for: CA, PA, VA, WA (Lead, Level 5): $184,450 - $249,550
Summary pay range for: AZ, MO, SC (Senior, Level 4): $142,800 - $193,200
Summary pay range for: AZ, MO, SC (Lead, Level 5): $172,550 - $233,450
Language Requirements:Not Applicable
Education:Not Applicable
Relocation:Relocation assistance is not a negotiable benefit for this position.
Export Control Requirement: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.
Safety Sensitive:This is not a Safety Sensitive Position.
Security Clearance:This position does not require a Security Clearance.
Visa Sponsorship:Employer will not sponsor applicants for employment visa status.
Contingent Upon Award ProgramThis position is not contingent upon program award
Shift:Shift 1 (United States of America)
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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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