Sr Software Architect - AI/ML

• 15+ years of strong hands Software development experience, technical architecture, and working with large scale enterprise systems.
• Bachelor’s degree in services, Computer Science, Applied Mathematics, Data Science, or a related technical field; advanced degree strongly preferred.
• Proven expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.) and generative AI technologies (LLMs, SLMs, diffusion models, GANs).
• 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 Services, 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.
• Strong ability to focus on business outcomes by AI augmentation into existing processe and Strong trouble shooting skills
• Ability to partner effectively with Services 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 Services contexts, including design automation, simulation acceleration, predictive maintenance, anomaly detection, or AI-assisted validation workflows.
• Familiarity with agentic AI frameworks (e.g., n8n, LangGraph, CrewAI) and experience designing multi-agent workflow architectures for Services applications.
• Experience mentoring and developing AI Services talent across distributed teams or matrixed organizations.
• Comfortable with Lean and Services 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.
• Good communication skills and prior experience of working with globally distributed teams

At GE Vernova, your work has real-world consequences. You will be building tools that help utilities balance the grid, integrate renewable energy, and ensure power reliability for millions. This role offers the rare opportunity to redefine how an entire industrial Services organization delivers software, setting the global standard for AI-assisted energy innovation.