AI Solution Architect-W2

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Aerospace
Amazon Web Services
Artificial Intelligence
Bridging
CATIA
Cloud Computing
Collaboration
Communication
Computer Science
Data Processing
Data Science
Good Clinical Practice
Google Cloud Platform
Innovation
IoT
MES
Machine Learning (ML)
Manufacturing
Mechanical Engineering
Mentorship
Microsoft Azure
Modeling
Plant Lifecycle Management
Product Lifecycle Management
Python
Quality Inspection
Real-time
Regulatory Compliance
Siemens
Software Design
Solution Architecture
Stakeholder Management
Supply Chain Optimization
Teamcenter
Training
Unigraphics NX

Job Details

Role: AI Solution Architect

Location: Wichita, KS

Duration : One year

AI Solution Architect

Location: Wichita

We are seeking a visionary Engineering and AI Solution Architect to lead the design and implementation of cutting-edge AI-driven solutions across our aircraft design, manufacturing, and maintenance operations. This role bridges the gap between engineering excellence and digital innovation, enabling smarter, faster, and more sustainable aerospace solutions.

Key Responsibilities:

Architect and lead the development of AI/ML solutions for predictive maintenance, digital twin modeling, quality inspection automation, and supply chain optimization.

Collaborate with engineering, IT, and data science teams to integrate AI into CAD/CAE, PLM, and MES systems.

Evaluate and select AI platforms, tools, and frameworks suitable for aerospace applications.

Ensure compliance with aerospace standards in AI solution design.

Drive innovation through PoCs, pilots, and scalable deployments.

Mentor cross-functional teams on AI best practices and solution architecture.

Required Qualifications

Bachelor s in aerospace/mechanical engineering, Computer Science, or related field 8+ years of experience in engineering systems and digital transformation.

Proven experience architecting AI/ML solutions in industrial or manufacturing settings.

Strong knowledge of Python, frameworks for building and training Machine learning and Deep Lerning and cloud platforms (AWS, Azure, Google Cloud Platform).

Familiarity with aerospace design and manufacturing tools (e.g., CATIA, Siemens NX, Teamcenter).

Excellent communication and stakeholder management skills.

Experience with digital twin and simulation technologies. Knowledge of edge AI, IoT, and real-time data processing.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Cyma Systems Inc