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Tier-1 employer and metro locations, but senior niche AI architect role reduces overall applicant competition.
Specialized AI architecture and grid Services domain knowledge limit transferability, though ML skills remain somewhat transferable.
Explicit 15+ years and deep AI architecture, MLOps, and enterprise standards drive rigorous screening.
Own the AI-assisted Services methodology and solutions across Grid Software portfolio, ensuring scalable, production-ready AI workflows.
Define and maintain enterprise AI reference architectures, standards, and reusable solution patterns aligned with global platforms and infrastructure.
Lead AI architecture reviews, mentor AI architects, and drive complex, cross-subsystem AI initiatives to optimize productivity and delivery outcomes.
15+ years of software development and technical architecture experience with large-scale enterprise systems.
Bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or related field; advanced degree strongly preferred.
Proven expertise with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and generative AI technologies (LLMs, diffusion models, GANs).
Hands-on experience designing, building, and deploying AI/ML solutions in complex environments with enterprise-level architecture responsibilities.
Demonstrated ability to bridge high-level AI architecture strategy with hands-on technical leadership in AI-assisted software delivery.
Experience working with cross-functional teams including Services leaders, Digital/IT, platform owners, and governance stakeholders in a global setting.
Track record mentoring AI architects and applying AI architecture thinking to industrial Services contexts like predictive maintenance, simulation acceleration, and AI-assisted validation workflows.