Principal AI & Full-Stack Solutions Architect

McKinsey & Company; Denver (CO); On-site; USD 216,700 - 220,000; Full time

Benefits offered by this job

World-class benefits

Job summary

McKinsey & Company is seeking a senior solutions engineer to drive transformative, technology-driven outcomes for clients in a fast-paced environment. You will design and deliver scalable AI-enabled solutions spanning data pipelines, ML models, and modern application layers, aligning with client strategy and ROI.

The role requires deep full-stack expertise, cloud fluency across AWS/Azure/GCP, and a track record mentoring teams while navigating ambiguity to deliver measurable impact.

Qualifications

• Deep expertise in full-stack development across frontend, backend, and cloud infra.
• Proven experience designing and operating complex AI/ML solutions and data pipelines.
• Strong understanding of deployment pipelines, observability, and security principles.

Responsibilities

• Combine deep engineering and consulting expertise to deliver transformative outcomes for clients.
• Design and build scalable, production-grade solutions integrated into client ecosystems.
• Bridge technical and business teams to align priorities and ROI.

Skills

Full-stack development

AI/ML systems

Cloud infrastructure

Deployment pipelines

Mentoring

Stakeholder alignment

Education

Bachelor's or Master's in CS/Engineering

Tools

AWS

Azure

GCP

Job description

McKinsey & Company is seeking a senior solutions engineer to drive transformative, technology-driven outcomes for clients in a fast-paced environment. You will design and deliver scalable AI-enabled solutions spanning data pipelines, ML models, and modern application layers, aligning with client strategy and ROI.

The role requires deep full-stack expertise, cloud fluency across AWS/Azure/GCP, and a track record mentoring teams while navigating ambiguity to deliver measurable impact.