Senior AI Platform Engineer: Deploy & Scale Cloud AI

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

Benefits offered by this job

Comprehensive benefits package

Continuous learning opportunities

Global community engagement

Job summary

QuantumBlack, AI by McKinsey in Chicago is seeking a skilled Software or Platform Engineer to deploy and scale innovative AI solutions. You will play a critical role in bridging product engineering and client environments, ensuring seamless delivery and adoption of AI systems.

The ideal candidate will have a strong background in software engineering, proficiency in Python, and experience with cloud platform deployments. This position will offer growth opportunities and a chance to work with a diverse global team.

Qualifications

• 4+ years of hands-on experience as a Software or Platform Engineer.
• Strong engineering fundamentals with proficiency in Python.
• Experience designing and managing cloud-based systems.

Responsibilities

• Deploy and scale a next-generation AI platform.
• Ensure systems are production-ready across cloud infrastructures.
• Collaborate with engineers and data scientists on AI initiatives.

Skills

Experience with Python

Kubernetes proficiency

Problem-solving skills

Knowledge of CI/CD pipelines

Education

Bachelor’s or Master’s degree in computer science or related field

Tools

AWS

Azure

GCP

Docker

Terraform

Job description

QuantumBlack, AI by McKinsey in Chicago is seeking a skilled Software or Platform Engineer to deploy and scale innovative AI solutions. You will play a critical role in bridging product engineering and client environments, ensuring seamless delivery and adoption of AI systems.

The ideal candidate will have a strong background in software engineering, proficiency in Python, and experience with cloud platform deployments. This position will offer growth opportunities and a chance to work with a diverse global team.