Wise Skulls
Job Title: AI Solution ArchitectLocation: Wichita, KS (Onsite)Duration: 12+ MonthsImplementation Partner: End Client: To be disclosed
JD:
We are seeking a visionary Engineering and AI Solution Architect to lead the design and implementation of cutting-edge AI-driven solutions across our design, manufacturing, and maintenance operations.
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
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, GCP
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.
JD:
We are seeking a visionary Engineering and AI Solution Architect to lead the design and implementation of cutting-edge AI-driven solutions across our design, manufacturing, and maintenance operations.
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
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, GCP
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.