Job Description
Join Nexus Horizon at the forefront of 2026's technological revolution. We're seeking an AI Sustainability Architect to design eco-conscious AI systems that redefine industry standards. In this pivotal role, you'll architect carbon-neutral AI frameworks while pioneering next-gen predictive analytics for climate resilience. Collaborate with quantum computing specialists to develop scalable solutions that align with global sustainability mandates. If you thrive at the intersection of innovation and environmental stewardship, this is your moment to shape tomorrow.
Responsibilities
- Design and implement AI systems with <0.1kg CO2e inference emissions
- Develop predictive models for climate impact mitigation using federated learning
- Lead cross-disciplinary teams integrating quantum-AI hybrid architectures
- Optimize AI workflows for 99.99% energy efficiency across edge-to-cloud
- Establish ESG-compliant AI governance frameworks aligned with 2026 regulations
- Pioneer neural network pruning techniques for sustainable resource utilization
- Present breakthrough solutions at global sustainability tech summits
Qualifications
- PhD in Computer Science/ML or 8+ years in sustainable AI development
- Expertise in TensorFlow/PyTorch with carbon footprint optimization
- Certification in Green AI frameworks (e.g., MLCO2, ClimateBERT)
- Proven experience with quantum machine learning (QML) integration
- Mastery of federated learning and differential privacy techniques
- Published research in sustainable AI or climate tech (NeurIPS/ICML)
- Strong background in ESG compliance for emerging technologies