Senior AI Platform Architect (Hybrid/Remote)

Relativity

Springfield (IL)

Hybrid

USD 205,000 - 307,000

Full time

5 days ago
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Benefits offered by this job

Equity program
Parental leave
DTO

Job summary

Relativity, a leading legal data intelligence company, seeks a Staff AI Engineer who will define the long-term ML platform vision and guide cross-organization initiatives. You will architect training, inference, and monitoring systems, ensuring secure, scalable, and cost-efficient AI capabilities across RelativityOne.

You will mentor senior engineers, drive cross-functional roadmaps with product and data science, and evaluate new ML Ops technologies to raise the bar on reliability and

Qualifications

  • 8+ years of professional software engineering experience.
  • 5+ years in ML/AI or big data environments.
  • 4+ years of technical leadership across multiple teams.
  • Expert-level proficiency in Python, Java, or Scala for production systems.

Responsibilities

  • Define and evangelize the multi-year ML Ops roadmap.
  • Provide technical direction and mentorship across engineering teams.
  • Design training, inference, and monitoring systems for scalability and reliability.
  • Collaborate with product, program, and data science leaders to scope roadmaps.
  • Evaluate emerging ML Ops technologies and establish standards.

Skills

Python
Java
Scala
ML/AI
Distributed Systems

Education

Master’s or PhD in CS/Engineering/Math

Tools

Docker
Kubernetes/Helm
Terraform
Pulumi
Prefect
Airflow
AWS/Azure/GCP
Spark
Kafka

Job description

Relativity, a leading legal data intelligence company, seeks a Staff AI Engineer who will define the long-term ML platform vision and guide cross-organization initiatives. You will architect training, inference, and monitoring systems, ensuring secure, scalable, and cost-efficient AI capabilities across RelativityOne.

You will mentor senior engineers, drive cross-functional roadmaps with product and data science, and evaluate new ML Ops technologies to raise the bar on reliability and

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