Listing evidence and provenance
- Source
- Amazon Jobs View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 7, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Not Specified
- Pay provenance
- Employer-provided pay
Job Description
We are looking for an **AI/ML Engineer** to build, deploy, and operate the ML/AI systems that power the agentic decision intelligence workflow we are building.
Requirements
- 3+ years of non-internship professional software development experience
- Bachelor's degree in Computer Science, Machine Learning, or related field (or equivalent experience)
- 2+ years deploying ML models to production environments
- Strong Python proficiency + experience with ML frameworks
- Experience with LLM APIs and prompt engineering
- Experience with cloud ML services
- Experience building data pipelines for ML (feature engineering, preprocessing, training data management)
- Solid software engineering fundamentals (testing, CI/CD, code review, production operations)
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building RAG systems (vector databases, embedding models, retrieval pipelines)
- Experience with agent/orchestration frameworks (LangChain, LangGraph, CrewAI, Bedrock Agents, or custom)
- Experience with ML evaluation frameworks (especially for generative AI / LLM outputs)
- Experience with time-series ML (forecasting, anomaly detection)
- Experience with MLOps tooling (MLflow, SageMaker Pipelines, Step Functions, feature stores)
- Experience with infrastructure-as-code (CDK, CloudFormation, Terraform)
- Background in operational/infrastructure environments
- Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
- The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .
- USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
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