Senior AI Platform Deployment Engineer

QuantumBlack, AI by McKinsey; Boston (KY); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

World-class benefits

Comprehensive mentorship

Job summary

QuantumBlack, AI by McKinsey is seeking a Platform Engineer to deploy and scale AI systems. You will utilize your expertise in cloud technologies, including AWS, Azure, and GCP, along with Kubernetes for effective platform management.

The role involves collaborating with a diverse team to operationalize AI strategies and ensuring systems are production-ready. A strong problem-solving skill set and willingness to travel are essential.

Competitive salary and world-class benefits are offered for this position based in Kentucky, United States.

Qualifications

• 4+ years of hands-on experience as a Software or Platform Engineer.
• Proficiency in Python and modern full-stack development.
• Deep understanding of Kubernetes cluster architecture.

Responsibilities

• Deploy and scale a next-generation AI platform.
• Manage cloud-based systems and troubleshoot production issues.
• Collaborate with data scientists and engineers on interdisciplinary initiatives.

Skills

Software engineering

Cloud deployment

Python

Kubernetes

DevSecOps

CI/CD

Data architecture

Education

Bachelor's or Master's degree in relevant field

Tools

AWS

Azure

GCP

Docker

Terraform

Job description

QuantumBlack, AI by McKinsey is seeking a Platform Engineer to deploy and scale AI systems. You will utilize your expertise in cloud technologies, including AWS, Azure, and GCP, along with Kubernetes for effective platform management.

The role involves collaborating with a diverse team to operationalize AI strategies and ensuring systems are production-ready. A strong problem-solving skill set and willingness to travel are essential.

Competitive salary and world-class benefits are offered for this position based in Kentucky, United States.