Senior AI Infra Architect — Scale Enterprise AI

Seekr; Washington (District of Columbia); Hybrid; USD 170,000 - 260,000; Full time

Benefits offered by this job

Equity RSUs

Unlimited PTO

Hybrid work environment

401(k) with company match

Comprehensive health & wellness

Job summary

Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Senior AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large‑scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.

You will work across distributed systems, Kubernetes, GPU infrastructure, high‑performance inference, and enterprise AI platforms to build secure, scalable, and highly reliable systems capable of serving

Qualifications

• 5–8 years of professional software engineering experience building distributed systems.
• Experience with cloud-native infrastructure for AI platforms.
• Bachelor's degree or higher in a relevant field.

Responsibilities

• Design, develop, deploy, and maintain production AI infrastructure for training and deployment.
• Operate scalable Kubernetes-based infrastructure for GPU workloads across environments.
• Architect high-performance inference platforms for edge to trillion-parameter models.
• Build distributed systems for scheduling, orchestration, monitoring, and lifecycle management.
• Develop enterprise AI platforms including governance and observability.
• Automate infrastructure using IaC, GitOps, CI/CD; evaluate new AI infra tech.
• Lead design discussions, mentor engineers, establish standards across teams.

Skills

Distributed systems

Kubernetes

Python

Go

Rust

C++

GPU infrastructure

Cloud platforms

ML infra

CI/CD

Observability

Architecture leadership

Education

Bachelor's degree

Tools

Prometheus

Grafana

Argo CD

Docker

Terraform

Job description

Seekr is building the infrastructure that powers the next generation of enterprise AI. As a Senior AI Infrastructure Engineer, you will design, build, and operate the platforms that enable large‑scale training, serving, evaluation, and deployment of foundation models and autonomous AI agents.

You will work across distributed systems, Kubernetes, GPU infrastructure, high‑performance inference, and enterprise AI platforms to build secure, scalable, and highly reliable systems capable of serving