Senior GenAI Platform Architect (Hybrid)

TransUnion LLC

Chicago (IL)

Hybrid

USD 143,000 - 238,000

Full time

3 days ago
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Benefits offered by this job

Health coverage
Life and AD&D
Paid parental leave
401(k) and ESPP
Tuition reimbursement
Flexible time off

Job summary

TransUnion LLC is seeking a Senior Architect for the AI Engineering and Platforms team to design, build, and operate core AI platform components across multi-cloud and hybrid environments. You will drive architectural choices, mentor engineers, and partner with product and engineering to deliver scalable AI solutions.

This hybrid role requires hands-on expertise in GenAI, distributed systems, and modern DevOps practices, with a focus on security, observability, and cost optimization to support

Qualifications

  • Bachelor’s or Master’s degree in CS/Engineering or equivalent practical experience.
  • 10+ years in ML engineering, data engineering, distributed systems, or platform development.
  • Hands-on GenAI platforms development and production deployment experience.
  • Experience delivering GenAI solutions with latency, cost, quality improvements.

Responsibilities

  • Contribute to technical vision and lead architecture of AI platform capabilities.
  • Design and implement scalable AI capabilities across multi-cloud and hybrid environments.
  • Advance automation and DevOps practices for CI/CD of data and AI services.
  • Ensure availability, performance, security of platform components.
  • Mentor engineers and provide design reviews.

Skills

GenAI platforms
ML engineering
Data engineering
Distributed systems
Platform development

Education

Bachelor's or Master’s in CS/Engineering

Tools

Docker
Kubernetes
IaC (Terraform, CloudFormation)
API design
Microservices
CI/CD
Terraform
CloudFormation
Prometheus
Grafana
ELK Stack

Job description

TransUnion LLC is seeking a Senior Architect for the AI Engineering and Platforms team to design, build, and operate core AI platform components across multi-cloud and hybrid environments. You will drive architectural choices, mentor engineers, and partner with product and engineering to deliver scalable AI solutions.

This hybrid role requires hands-on expertise in GenAI, distributed systems, and modern DevOps practices, with a focus on security, observability, and cost optimization to support

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