Senior AI Architect

About the role

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.

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

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, LangGraph, 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.

Benefits

• Medical, dental, vision, and prescription drug coverage

• Access to Health Coach from GE Vernova, a 24/7 nurse-based resource

• Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services

• Retirement benefits including the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions

• Tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off

Pay

The pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.