Environmental Digital Engineer, AWS Environmental

Environmental Digital Solutions Engineer

Amazon Web Services (AWS) owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

Amazon is looking for a talented and self-motivated Environmental Digital Solutions Engineer to support the AWS Environmental global programs team. The successful candidate will join the AWS Environmental team, an expanding and dynamic team that is critical to enabling AWS's growth around the world, as well as ensuring regulatory compliance and highest-level environmental performance of AWS's data center global operations.

The Environmental team has responsibility for managing Environmental requirements and risk from site selection through to decommissioning. This role requires a highly skilled professional to manage complex, ambiguous audit initiatives across organizational boundaries. The ideal candidate must lead on AI enhancements and technologies and be strong in data analytic capabilities, influence stakeholders, and work independently while seeking guidance when needed. Strong strategic and tactical skills are essential, including balancing short and long-term needs, mitigating risks, and delivering simplified solutions. Excellent communication skills are crucial, with the ability to present to senior leadership and write strategic narratives. The role involves mentoring, recruitment, and process improvement. Cross-functional collaboration and consensus-building are key. A commitment to diversity, equity, and inclusion is vital, focusing on challenging the status quo and creating inclusive products.

Key job responsibilities include:

• Leadership and AI Driven Environmental Management: Drive innovation in environmental compliance through the application of AI technologies and analytical methods.
• Design and develop AI-powered compliance monitoring systems using machine learning and advanced analytics for environmental metrics including air quality, water discharge, waste management, and chemical handling
• Environmental performance evaluation: Build and implement predictive analytics models to forecast potential environmental regulatory compliance violations and automate risk assessment processes.
• Create intelligent data pipelines and real-time monitoring dashboards to transform environmental compliance data into actionable insights.
• Implementation and operation: Lead the integration of AI/ML solutions with existing EHS software systems and data architectures. Collaborate with stakeholders to translate complex business requirements into AI-driven solutions. Develop and optimize machine learning algorithms for automated reporting and compliance pattern recognition
• Continual improvement: Drive ongoing scalable improvement of our digital tools and systems to meet business, customer, stakeholder and partner needs.