Hiring: Senior Forward Deployed Engineer - QuantumBlack, AI by McKinsey Company: QuantumBlack, AI by McKinsey Location: Atlanta, GA Job Posted Time: 2026-09-12 07:38:21 Employment Type: Hybrid Target Skills & Keywords : AI, AWS, Ansible, Azure, CI/CD, Compliance, Data Pipeline, Docker, ELK Stack, Encryption, GCP, GitHub Actions, GitLab CI, Grafana, Helm, IAM, Infrastructure as Code, Kind, Kubernetes, Machine Learning, Neo4j, Next.js, PostgreSQL, Prometheus, Python, RBAC, React, Terraform About the job Experience: •4+ years of hands-on experience as a Software or Platform Engineer, with exposure to enterprise platform deployments Required Skills: •As a Senior Forward Deployed Engineer, you'll deploy and scale EcliptOS— QuantumBlack's AI forward Operating System — a next-generation platform designed to connect strategy to execution through agentic systems. •This role sits at the intersection of software engineering and infrastructure, bringing EcliptOS into real-world environments and ensuring it works at scale. You'll play a key role in how the platform is deployed, adopted, and operated, enabling organizations to translate complex AI strategies into practical, high-impact solutions. •At QuantumBlack, AI by McKinsey, you'll thrive in an unparalleled environment for growth. You'll develop a sought-after perspective by connecting technology and business value, work across industries, and collaborate with multidisciplinary teams to unlock the transformative potential of AI, while advancing as a technologist and leader. •4+ years of hands-on experience as a Software or Platform Engineer, with exposure to enterprise platform deployments •Strong engineering fundamentals with proficiency in Python and familiarity with modern full-stack development (e.g., React, NextJS or equivalent) •Deep expertise in Kubernetes cluster architecture, installation, configuration, and lifecycle management at production scale •In-depth knowledge of data architectures and platform design, including relational and graph databases (e.g., PostgreSQL, Neo4j), data pipelines, and system integration patterns across structured and unstructured data •Operational familiarity with AI platform concepts, including model integration patterns, agentic workflows, and how AI-driven applications interact with underlying data and infrastructure is a plus Qualifications: •Bachelor’s or Master’s degree in computer science, machine learning, applied statistics, mathematics, engineering, artificial intelligence, or a related field Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!