




Primary Purpose of the Job: The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large\-scale data processing frameworks to drive data\-driven decision\-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation. **Principle Accountabilities:** =============================== * Design scalable, secure, and cloud\-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns. * Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations. * Design scalable architectures for packaging AI/ML models as production\-ready APIs or custom applications/microservices. * Define technical standards for model deployment, monitoring, and maintenance. * Identify and evaluate industry\-specific data and AI platforms, Auto\-ML tools to fit business use cases and derive value. * Partner with business stakeholders to understand requirements and translate them into technical solutions * Establish governance frameworks for AI model lifecycle management * Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions * Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms. * Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations. * Stay updated on emerging technologies and apply cloud\-native, AI/ML\-driven solutions, automation tools to foster innovation in business processes. Required Experience and Skills: **AI/ML Expertise** * 8\+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector. * Proven track record of designing and implementing enterprise\-scale AI/ML architecture/solutions. * 5\+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment. * Proficient in large language models and generative AI implementations. * Experience in prompt engineering, RAG, and fine\-tuning to optimize model performance and response accuracy. * Experienced with real\-time ML systems and edge computing. **MLOps and DataOps** * Strong knowledge of MLOps practices and tools. * Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation. * Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes). **Cloud and Architecture** * Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices\-driven architectures. * Experience in designing scalable architectures for packaging AI/ML models as production\-ready APIs or custom applications/microservices. * Working knowledge of system integration approaches, modern data architectures, and cloud\-native application design. **Governance and Compliance** * In\-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings. * Knowledgeable in AI/ML regulatory compliance. **Communication and Collaboration** Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions Educational Qualifications: * A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills. * Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable


