SDE AI, Tools & Automation, Devices Sustainability

Amazon • Arlington, VA

1d

About The Position

In September 2019, Amazon co-founded The Climate Pledge, a commitment to reach
net zero carbon by 2040, ten years ahead of the Paris Agreement. Achieving that
goal for hundreds of millions of devices requires more than good intentions — it
requires embedding carbon intelligence into the way products are designed,
measured, certified, and communicated to customers. That’s what SUSTAIN.AI
builds.

We are the AI and automation team within Amazon’s Devices & Services
Sustainability organization. Our mission is to turn sustainability from a
manual, expert-intensive process into a scalable, intelligent capability that
reaches every product team and every device. We build the platforms and data
infrastructure that sustainability teams depend on daily. We build AI systems
that automate environmental measurement and certification workflows. And we’re
building toward a future where an engineer choosing between materials during
design gets instant visibility into the carbon, cost, and supply chain
implications of each option — without learning a new tool or changing how they
work.

This isn’t a team that talks about AI — it’s a team that ships it. We build ML
estimation pipelines, LLM-powered data extraction tools, and end-to-end
automation that connects supply chain data to certification-ready environmental
assessments. We also design and operate cloud-native services on AWS — the same
serverless architectures, APIs, and infrastructure-as-code that power Amazon’s
core businesses. We prototype fast, validate against real devices, and put
working systems in front of scientists and program managers who depend on them
daily. The work spans from training models and building LLM-powered tools to
shipping production services, data pipelines, and keeping them running.

As a Software Development Engineer on SUSTAIN.AI, you’ll join a small,
high-ownership team of experienced engineers working at the intersection of AI,
data engineering, and environmental science. You’ll partner with sustainability
scientists to define the methodology, product and program managers to shape
requirements and run certification workflows, and third-party assurers to
validate the results. You’ll learn from seasoned SDEs with deep expertise across
ML and distributed systems — and your code will directly shape how Amazon scales
its sustainability commitments across every device it makes.

You’ll have the opportunity to:

Build AI systems that fundamentally change how environmental impact is
measured and certified at scale
Work across the full ML lifecycle — from rapid prototyping to production
deployment and validation against real-world ground truth
Develop LLM-powered tools that extract structured knowledge from unstructured
supply chain data
Build data pipelines that connect internal platforms and external partners
into automated certification workflows
Contribute to an approach that could set the standard for AI-informed
sustainability assessment across the industry
Work in a small team where your decisions shape the technical direction and
your code ships to production

We’re looking for builders who are excited about complex technical challenges,
comfortable navigating ambiguity across multiple teams, and want to grow their
careers where environmental science meets AI.

Requirements

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

Nice To Haves

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Responsibilities

• Design and implement estimation pipelines that combine rule-based classifiers, ML models, and LLM-based extraction
• Build and operate cloud-native services on AWS — serverless architectures, APIs, CDK infrastructure, CI/CD pipelines
• Write clean, well-tested code that operates reliably in production
• Develop and maintain data pipelines that ingest and transform supply chain data from multiple sources
• Build rapid prototypes to test estimation approaches — validate with real devices before committing to production
• Design and run validation experiments comparing AI-estimated results against manual ground truth
• Balance speed of experimentation with production readiness
• Evaluate emerging AI techniques (agentic workflows, structured extraction) through hands-on experimentation
• Work with sustainability scientists to define estimation methodologies and quality evaluation criteria
• Partner with program managers who run certification workflows — your tools directly reduce their manual workload
• Support third-party certification engagements by implementing data quality and provenance requirements
• Translate scientific requirements into working software
• Monitor and maintain production services and data pipelines that support active certification workflows
• Implement logging, metrics, and provenance tracking for auditability
• Participate in on-call rotation to ensure service reliability
• Debug and resolve production issues
• Take end-to-end ownership of features from prototype through production deployment and validation
• Contribute to architectural decisions in a team where every engineer’s voice shapes the system design
• Stay current with advances in AI, ML, and sustainability technologies
• Share knowledge through documentation, design reviews, and team presentations

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level