Senior AI Platform Engineer - AWS Scale & Reliability

DAT

Seattle (WA)

Hybrid

USD 162,000 - 207,000

Full time

3 days ago
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Benefits offered by this job

Medical, Dental, Vision, Life, and AD&
Parental Leave
Flexible Vacation Time
401k matching
Employee Stock Purchase Plan
Performance incentives
Transit pass
Competitive salary
Hybrid work environment
Paid holidays
Wellness programs

Job summary

DAT builds agentic solutions for freight and logistics. DAT seeks a Sr AI Engineer (Emerging AI) to design, operate, and improve AI infrastructure supporting model training, serving, evaluation, monitoring, and governance with a focus on AWS scalability and cost-aware delivery.

The role involves building shared services, model gateways, and scalable AI systems on AWS. You will mentor teams, own production ML pipelines, and drive incident response and reliability while controlling costs.

Qualifications

  • 10+ years of software engineering with production infra ownership.
  • 4+ years building and operating ML/AI platforms in production.
  • Strong design and leadership across teams.

Responsibilities

  • Design, operate, and improve AI infrastructure for training, serving, evaluation, and governance.
  • Own inference cost and latency, optimize batching and caching.
  • Mentor engineers on production ML and distributed systems.

Skills

TypeScript/JS
Go
Java
AWS cloud
Kubernetes
Pulumi/Terraform
Model serving at scale
LLM systems
Observability/Monitoring

Tools

Pulumi
Terraform
EKS/Kubernetes
Bedrock
SageMaker
S3
Redpanda/MSK
Secrets Manager

Job description

DAT builds agentic solutions for freight and logistics. DAT seeks a Sr AI Engineer (Emerging AI) to design, operate, and improve AI infrastructure supporting model training, serving, evaluation, monitoring, and governance with a focus on AWS scalability and cost-aware delivery.

The role involves building shared services, model gateways, and scalable AI systems on AWS. You will mentor teams, own production ML pipelines, and drive incident response and reliability while controlling costs.

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