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Strong Tier-1 brand but highly senior and specialized, reducing general applicant competition.
High because role demands enterprise energy‑services AI experience, governance, and domain-specific operational knowledge.
High due to 15+ years requirement, enterprise AI architecture, MLOps, and specific ML technology mandates.
Own and define enterprise AI service architectures and reusable AI solution patterns for Grid Software portfolio.
Lead integration of AI-assisted workflows into software delivery processes, driving productivity and consistent AI adoption across global teams.
Provide technical leadership, mentorship, and governance for complex, scalable AI services and solutions in industrial software environments.
15+ years of software development, technical architecture experience with large-scale enterprise systems.
Bachelor’s degree in Computer Science, Applied Mathematics, Data Science, or related; advanced degree strongly preferred.
Proven expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and generative AI technologies (LLMs, diffusion models, GANs).
Significant hands-on experience designing, building, deploying AI/ML solutions and progressing to enterprise-level AI architecture roles.
Experienced AI architect with deep technical mastery in industrial AI/ML domains relevant to services (supervised learning, generative AI, time-series analysis).
Capable of partnering with cross-functional teams including Services, Digital/IT, and governance stakeholders to embed AI at enterprise scale.
Skilled mentor able to develop AI talent and drive AI architecture strategy while resolving technical escalations promptly.