AI Technology Architect

Summary: The AI Technology Architect focuses on designing and implementing comprehensive AI/ML solutions within the context of Energy Trading. This role not only addresses the architectural aspects but also requires hands-on development, ensuring end-to-end ownership of AI use cases. Main Responsibilities: • Design and personally contribute to building end-to-end AI/ML solutions. • Develop data pipelines, train models, and support deployment into production. • Write production-grade code and review technical deliverables. • Ensure scalable, low-latency architecture suitable for trading environments. • Drive implementation of AI use cases such as price forecasting, demand forecasting, trading signal generation, and risk analytics. • Take ownership of the process from use case definition to optimization. • Work closely with data engineers to build robust data platforms, integrating with ETRM/CTRM systems. • Implement and optimize cloud-based AI infrastructure. • Build and manage CI/CD pipelines for ML models. • Act as a technical authority, setting best practices and coding standards. • Mentor engineers and data scientists, driving delivery and removing blockers. Key Requirements: • 8–12+ years in software engineering / AI / data engineering roles. • Proven experience building and deploying AI/ML solutions in production. • Solid experience in Energy Trading (power, gas, LNG, or commodities). • Strong understanding of trading systems, workflows, and data. • Advanced proficiency in Python; knowledge of Java/Scala is a plus. • Experience with AI/ML frameworks like PyTorch, TensorFlow, Scikit-learn. • Proficient in SQL/NoSQL, data streaming, and ETL pipelines. • Familiarity with AWS, Azure, or GCP for cloud solutions. • Experience with Docker, Kubernetes, and CI/CD practices. • Experience integrating with ETRM/CTRM systems. Nice to Have: • Experience managing ML model deployment and CI/CD pipelines. • Strong problem-solving skills. • Ability to drive implementation and achieve outcomes. Other Details: • Contract Duration: 6 months with extension • Work Environment: Onsite