Amazon Web Services (AWS)
Environmental Digital Engineer, AWS Environmental
Amazon Web Services (AWS), Herndon, Virginia, United States, 22070
Overview
AWS Infrastructure Services owns design, planning, delivery, and operation of all AWS global infrastructure. We support data centers, servers, storage, networking, power, and cooling to keep the cloud running. For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud computing platform. We are committed to sustainability through the Climate Pledge, targeting 100% renewable energy by 2025 and net zero carbon by 2040. This role supports the AWS Environmental global programs team, enabling growth worldwide and ensuring regulatory compliance and high environmental performance of AWS data center operations.
Key Responsibilities
Lead AI-driven environmental compliance initiatives, applying machine learning and advanced analytics to monitor air quality, water discharge, waste management, and chemical handling.
Design and develop predictive analytics models to forecast regulatory compliance violations and automate risk assessment processes.
Build intelligent data pipelines and real-time monitoring dashboards to transform environmental data into actionable insights.
Integrate AI/ML solutions with existing EHS software systems and data architectures, collaborating with stakeholders to translate business requirements into AI-driven solutions.
Develop and optimize machine learning algorithms for automated reporting and compliance pattern recognition.
Drive continuous, scalable improvement of digital tools and systems to meet evolving business, customer, and stakeholder needs.
Basic Qualifications
Bachelor’s degree in mathematics, engineering, statistics, computer science, or a related field.
Experience with AI/ML technologies.
5–7+ years of experience with environmental management software development or analytics and post-internship software implementation experience.
Implementation experience with EHS software such as Enablon, Cority, Intelex.
Proven track record implementing predictive analytics in environmental management systems.
Preferred Qualifications
Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines.
Experience developing and deploying AI solutions in Environmental Health and Safety applications, particularly in compliance monitoring and risk assessment.
Strong background in statistical analysis, predictive modeling, and machine learning algorithms.
Expertise in building real-time analytics dashboards and visualization tools.
Knowledge of environmental compliance regulations and EHS software platforms (e.g., Enablon, Cority, Intelex).
Experience with big data technologies and cloud-based AI services.
Equal Opportunity & Accommodations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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Key Responsibilities
Lead AI-driven environmental compliance initiatives, applying machine learning and advanced analytics to monitor air quality, water discharge, waste management, and chemical handling.
Design and develop predictive analytics models to forecast regulatory compliance violations and automate risk assessment processes.
Build intelligent data pipelines and real-time monitoring dashboards to transform environmental data into actionable insights.
Integrate AI/ML solutions with existing EHS software systems and data architectures, collaborating with stakeholders to translate business requirements into AI-driven solutions.
Develop and optimize machine learning algorithms for automated reporting and compliance pattern recognition.
Drive continuous, scalable improvement of digital tools and systems to meet evolving business, customer, and stakeholder needs.
Basic Qualifications
Bachelor’s degree in mathematics, engineering, statistics, computer science, or a related field.
Experience with AI/ML technologies.
5–7+ years of experience with environmental management software development or analytics and post-internship software implementation experience.
Implementation experience with EHS software such as Enablon, Cority, Intelex.
Proven track record implementing predictive analytics in environmental management systems.
Preferred Qualifications
Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines.
Experience developing and deploying AI solutions in Environmental Health and Safety applications, particularly in compliance monitoring and risk assessment.
Strong background in statistical analysis, predictive modeling, and machine learning algorithms.
Expertise in building real-time analytics dashboards and visualization tools.
Knowledge of environmental compliance regulations and EHS software platforms (e.g., Enablon, Cority, Intelex).
Experience with big data technologies and cloud-based AI services.
Equal Opportunity & Accommodations Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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