Artificial Intelligence Architect (Senior or Lead)

Boeing•Hazelwood, MO

1d•$142,800 - $249,550•Hybrid

About The Position

The Boeing Company is seeking an Artificial Intelligence Architect (Senior or Lead) to support their Enterprise Services Technology and Systems Data Management Office team. This position sits within Boeing’s Enterprise Services organization, which is a team of over 2,500 employees focused on enabling the build of Boeing’s products and providing strategic partnership and support to all Boeing business units. The role is part of the Enterprise Services Technology and Systems Data Management team, supporting a transformation journey. The ideal candidate is curious, seeks actionable insights from data, and is a strong communicator.

Requirements

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

Nice To Haves

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 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

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 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.