Senior AI Platform Deployment Engineer

McKinsey & Company; New York (NY); On-site; USD 175,500 - 180,000; Full time

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Global community of colleagues

Job summary

McKinsey & Company in New York is seeking a Software Engineer to deploy and scale advanced AI platforms. This role involves collaborating with diverse teams to operationalize AI-driven workflows in client environments and ensuring systems are production-ready.

The ideal candidate will have a strong background in software engineering, experience with cloud-based systems, and skills in Kubernetes and Python. McKinsey offers a competitive salary and benefits to support holistic well-being.

Qualifications

• 4+ years of experience as a Software or Platform Engineer.
• Strong engineering fundamentals with proficiency in Python.
• Experience deploying and managing cloud systems like AWS, Azure, or GCP.

Responsibilities

• Deploy and scale AI platforms across cloud and hybrid infrastructures.
• Troubleshoot and ensure production-ready platforms.
• Collaborate with data scientists and engineers to operationalize AI systems.

Skills

Software Engineering

Kubernetes

Cloud-based Systems

Python

DevSecOps

CI/CD Pipelines

Education

Bachelor’s or Master’s degree in a relevant field

Tools

Docker

AWS

Terraform

Job description

McKinsey & Company in New York is seeking a Software Engineer to deploy and scale advanced AI platforms. This role involves collaborating with diverse teams to operationalize AI-driven workflows in client environments and ensuring systems are production-ready.

The ideal candidate will have a strong background in software engineering, experience with cloud-based systems, and skills in Kubernetes and Python. McKinsey offers a competitive salary and benefits to support holistic well-being.