Senior AI Platform Engineer — Production ML for Freight

DAT Freight & Analytics

Seattle (WA)

On-site

USD 162,000 - 207,000

Full time

38 hours ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
AD&D insurance
Parental leave
Flexible vacation

Job summary

DAT Freight & Analytics is seeking a Sr AI Engineer to own and scale the platform powering agentic freight solutions. You will design shared AI services, manage real-time and batch inference, and drive reliability, security, and governance across teams.

The role requires leadership across Product, Engineering, and Operations in a hybrid, innovation-driven environment. With 10+ years in software engineering and 4+ years on ML platforms, you’ll work on AWS-based infrastructure (EKS, Kafka, S3) and

Qualifications

  • Ten-plus years in software engineering with production infra ownership.
  • Four-plus years building and operating ML/AI platforms.
  • Strong coding skills in TypeScript/Java/Go.
  • Extensive AWS production experience (EKS, Lambda, S3, Kafka).
  • Experience with infra-as-code (Pulumi, Terraform).
  • Hands-on in model serving and GPU scheduling.
  • Production ML/AI platforms experience with evaluation/monitoring.
  • Background in event-driven/distributed systems (Redpanda/Kafka).
  • Observability, dashboards, alerts, SLOs.
  • Leadership in setting engineering standards and reviews.
  • Mentoring data scientists and engineers in design/ops.
  • Excellent cross-team communication.

Responsibilities

  • Design, build, and operate shared AI model services.
  • Lead architecture for large-scale AI systems and align with product teams.
  • Architect scalable AI infra on AWS (Bedrock, SageMaker, EKS, S3).
  • Develop offline/online evaluation and drift detection for models.
  • Manage inference cost, latency, and resource sizing.
  • Implement guardrails, logging, and data governance.
  • Promote modern software practices (CI/CD, tests, IaC).
  • Mentor engineers and data scientists across teams.
  • Lead incident response for AI service outages.

Skills

10+ years software engineering
4+ years ML/AI platforms
TypeScript/Java/Go
AWS – EKS/Lambda/S3
Pulumi/Terraform
GPU scheduling/batching
LLM systems in production
Model evaluation/monitoring
Distributed systems
Observability & on-call
Engineering standards & reviews
Mentoring engineers
Excellent communication

Tools

Redpanda
MSK/Kafka
SageMaker
Bedrock
Pulumi
Terraform
Kubernetes

Job description

DAT Freight & Analytics is seeking a Sr AI Engineer to own and scale the platform powering agentic freight solutions. You will design shared AI services, manage real-time and batch inference, and drive reliability, security, and governance across teams.

The role requires leadership across Product, Engineering, and Operations in a hybrid, innovation-driven environment. With 10+ years in software engineering and 4+ years on ML platforms, you’ll work on AWS-based infrastructure (EKS, Kafka, S3) and

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