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