Production AI/ML Engineer - LLM & MLOps for Global DC Ops

Amazon Web Services (AWS); Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon Data Services, Inc. is seeking an AI/ML Engineer to build and operate ML/AI systems powering our decision intelligence workflows. You will take models from notebook to production, implement LLM integrations, and ensure reliable, observable AI systems with robust testing.

The role emphasizes hands-on production code, ML infrastructure, and end-to-end ML pipelines, with a focus on latency, cost, and QA across providers. Seattle-based, eligible for on-site work.

Qualifications

• 3+ years of non-internship professional software development experience
• Bachelor's degree in CS/ML or related field
• 2+ years deploying ML models to production environments; strong Python
• Experience with LLM APIs and prompt engineering
• Experience with cloud ML services
• Experience building data pipelines for ML
• Solid software engineering fundamentals (testing, CI/CD, code review, production operations)

Responsibilities

• Build and maintain LLM-powered components: structured reasoning chains, narrative generation, recommendation rationale
• Implement and optimize prompt engineering pipelines with version control, A/B testing, and regression detection
• Build RAG systems grounding LLM outputs in operational data and domain knowledge
• Build guardrails, validation layers, and output parsing for LLM responses; optimize latency, cost, and quality
• Deploy ML models to production; implement model monitoring and automated retraining triggers
• Build A/B testing infrastructure for model experiments; manage versioning, rollback and canary deployment
• Own the operational health of AI/ML services: monitoring, alarming, on-call, observability across AI stack
• Write comprehensive tests for ML pipelines

Skills

Python

ML frameworks

LLM APIs

Prompt engineering

RAG systems

Data pipelines

LangChain

Cloud ML services

Education

Bachelor's degree in Computer Science / Machine Learning

Tools

LangChain

MLflow

SageMaker Pipelines

CDK

Job description

Amazon Data Services, Inc. is seeking an AI/ML Engineer to build and operate ML/AI systems powering our decision intelligence workflows. You will take models from notebook to production, implement LLM integrations, and ensure reliable, observable AI systems with robust testing.

The role emphasizes hands-on production code, ML infrastructure, and end-to-end ML pipelines, with a focus on latency, cost, and QA across providers. Seattle-based, eligible for on-site work.