AI Platform Deployment Lead

QuantumBlack, AI by McKinsey; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Comprehensive benefits package

Opportunities for mentorship and growth

Job summary

QuantumBlack, AI by McKinsey is seeking a skilled engineer to lead AI platform deployments in Greater London. The role focuses on navigating complex client environments, deploying advanced AI capabilities, and ensuring operational stability. Candidates should possess 8+ years of experience in software and infrastructure engineering, with proficiency in Python, cloud systems like AWS, and container orchestration using Kubernetes. The position offers competitive benefits and the opportunity for significant impact in driving AI innovations.

Qualifications

• 8+ years of hands-on experience in software, platform, or infrastructure engineering.
• Experience designing, deploying, and managing cloud-based systems.
• Strong full-stack engineering skills.

Responsibilities

• Lead the deployment of a next-generation AI platform.
• Work directly with clients, navigating real-world constraints.
• Guide architectural decisions for complex deployments across engagements.

Skills

Python

Proficiency in web frameworks (React, NextJS)

Cloud systems (AWS, Azure, GCP)

Kubernetes

CI/CD and Infrastructure as Code

Problem-solving skills

Education

Bachelor's or Master's in relevant field

Tools

Docker

Terraform

Ansible

PostgreSQL

Job description

QuantumBlack, AI by McKinsey is seeking a skilled engineer to lead AI platform deployments in Greater London. The role focuses on navigating complex client environments, deploying advanced AI capabilities, and ensuring operational stability. Candidates should possess 8+ years of experience in software and infrastructure engineering, with proficiency in Python, cloud systems like AWS, and container orchestration using Kubernetes. The position offers competitive benefits and the opportunity for significant impact in driving AI innovations.