Artificial Intelligence Architect – Senior/Lead

Boeing

. Design end-to-end AI solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, lifecycle management, and machine learning architectures .

Posted 10/2/2026full-timeUnited StatesSenior💰 $142,800 - $249,550 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing end-to-end AI solutions, including model training, deployment, and lifecycle management. Proficient in cloud architecture and AI technologies, with a strong focus on compliance and cross-functional collaboration.

Highest-signal resume keywords

AI Solution DesignCloud ArchitectureMachine Learning TechnologiesData EngineeringEnterprise Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionModel TrainingAI Architecture DesignLarge Language ModelsGenerative AIMLOpsInformation ArchitectureDatabase ManagementProgramming Languages (C++, Java, JavaScript, Perl, Python, Visual Basic)Cloud Platforms (AWS, Google Cloud Platform, Azure)

Soft Skills

Cross-Functional CoordinationLeadershipCollaboration

Tools & Technologies

Visual Automation PlatformsConversational Platforms

Industry Keywords

AI InitiativesProof of ConceptsScalable DeploymentsComplianceIntegration Practices

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaJavaScriptPerlPythonC++

About the role

Key responsibilities & impact

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 including deep learning, NLP, computer vision, and generative AI
Lead the design of AI architectures, LLM/RAG pipelines, and agentic workflow orchestration
Design and build low-code and no-code abstraction layers, visual workflow nodes, and template engines for agent creation
Define AI strategy, roadmaps, and technology standards
Evaluate emerging AI/ML, agentic framework, and automation technologies and recommend adoption
Balance hands-on AI model development with cross-functional coordination
Support compliance, monitoring, and integration practices for knowledge-based AI adoption
Build functional PoCs and MVPs to validate architectural assumptions and technical viability
Collaborate with executive leadership, Data Science and IT, service tower leadership, vendors, and consultants
Work onsite as required at one of the listed location options

Requirements

What you’ll need

5+ years of experience in Data Engineering and/or Software Development
5+ years of experience with Artificial Intelligence hardware and software integration
5+ years of enterprise architecture experience, including 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 AI and ML technologies
3+ years of experience with modern programming and scripting languages such as C++, Java, JavaScript, Perl, Python, and 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
Fundamental knowledge of MLOps
10+ years of related work experience or an equivalent combination of education and experience preferred
Bachelor's of Science degree or higher preferred
Experience with visual automation and conversational platforms preferred
Willing and able to travel up to 20% domestically
Successful candidates must satisfy the Company's Conflict of Interest assessment process
U.S. Person status required for U.S. export control compliance
Employer will not sponsor applicants for employment visa status
Language requirements: Not Applicable
Education: Not Applicable
No security clearance required
Not a Safety Sensitive Position

Benefits

Comp & perks

Competitive base pay
Variable compensation opportunities
Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid and unpaid time away from work
Relocation assistance is not a negotiable benefit for this position
Up to 20% domestic travel opportunity