Senior AI Architect

Senior AI Architect

The Senior AI Architect is an enterprise technical authority responsible for defining scalable AI architectures and guiding consistent implementation across Wind Engineering. This role translates AI strategy into durable technical patterns, standards, and reference architectures that enable Wind Engineering to build AI solutions that are reusable, secure, maintainable, and aligned to enterprise platforms. Senior AI Architects mentor and develop Embedded AI Architects and provide technical oversight across the AI portfolio, ensuring that solutions built within subsystems conform to enterprise standards and can be reused across Wind Engineering.

This role is also responsible for updating engineering standard work and quality management systems to reflect AI-forward advancements.

Key Responsibilities

• Define and Maintain Enterprise AI Architectures and Reusable Solution Patterns
• Create and Maintain AI Design Practices
• Update Engineering Standard Work and Quality Management Systems with AI Advancements
• Partner with Digital and IT on Platforms, MLOps, and Integration Standards
• Review and Guide Subsystem AI Designs for Scalability and Reuse
• Mentor and Develop Embedded AI Architects
• Serve as Technical Escalation Point for Complex or High-Risk AI Initiatives

Required Qualifications:

• Bachelor's degree in Engineering, Computer Science, Applied Mathematics, Data Science, or a related technical field; advanced degree strongly preferred.
• Significant hands-on experience designing, building, and deploying AI or machine learning solutions in complex technical environments, with demonstrated progression to enterprise-level architecture responsibilities.
• Deep technical knowledge across AI/ML domains relevant to industrial engineering, including supervised learning, deep learning, time-series analysis, generative AI, agentic workflows, and physics-informed modeling.
• Experience defining technical standards, reference architectures, and design practices across a portfolio of AI solutions.
• Familiarity with MLOps platforms, cloud AI infrastructure (AWS, Azure, or GCP), model serving frameworks, and enterprise data platforms.

Desired Characteristics:

• Ability to partner effectively with engineering leaders, Digital/IT teams, platform owners, and governance stakeholders.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical audiences and translate architecture standards into practical guidance.
• Practical experience with AI in engineering contexts, including design automation, simulation acceleration, FMEA support, predictive maintenance, anomaly detection, or AI-assisted validation workflows.
• Experience with ARC Foundry, AMP, or GE Vernova enterprise AI platforms and integration patterns.
• Familiarity with agentic AI frameworks (e.g., n8n, Lang Graph, CrewAI) and experience designing multi-agent workflow architectures for engineering applications.
• Knowledge of QMS integration requirements and experience embedding AI outputs into quality management and engineering documentation systems.
• Experience mentoring and developing AI engineering talent across distributed teams or matrixed organizations.
• Comfortable with Lean and engineering standard work concepts, with the ability to apply AI architecture thinking to process improvement and waste elimination.
• Strong ownership mindset, equally comfortable driving technical strategy at the enterprise level and reviewing detailed subsystem-level design decisions.
• Technical escalations are resolved promptly, with documented architecture decisions and rationale available for future reference.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided:
Yes

For candidates applying to a U.S. based position, the pay range for this position is between $ and $. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on July 09, 2026.

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral…