Senior Software Engineer — AI & Architecture Lead

McKinsey & Company; Newark (NJ); On-site; USD 175,500 - 180,000; Full time

Job summary

McKinsey & Company in the United States seeks a hands-on software engineer and technical leader to tackle high-impact client challenges across industries. You will own architectural decisions, set technical direction, and deliver scalable, production-ready solutions.

You will work across the full stack, mentoring engineers, collaborating with design, product, and leadership, and helping accelerate AI adoption while upholding our integrity and standards.

Qualifications

• Undergraduate or master's degree; or equivalent experience
• 5+ years of experience developing full-stack applications
• Deep proficiency in multiple frontend or backend frameworks
• Designing secure, scalable REST/GraphQL APIs
• Proficiency with two cloud providers and IaC
• Advanced AI-enabled engineering and safety considerations
• Security-first mindset with secure development practices
• Experience leading cross-functional engineering teams
• Excellent English communication and time management

Responsibilities

• Own architectural decisions and set technical direction
• Deliver scalable, production-ready software across the full stack
• Mentor client and internal teams to grow engineering craft
• Collaborate with designers, product managers, and executives
• Help accelerate AI adoption and build AI-enabled systems

Skills

Full-stack development

Frontend frameworks

Backend frameworks

API design

Cloud platforms

CI/CD tooling

AI/ML systems

Security best practices

Leadership

English communication

Education

Bachelor's or Master's degree

Tools

Jenkins

Docker

CircleCI

AWS

Azure

GCP

Job description

McKinsey & Company in the United States seeks a hands-on software engineer and technical leader to tackle high-impact client challenges across industries. You will own architectural decisions, set technical direction, and deliver scalable, production-ready solutions.

You will work across the full stack, mentoring engineers, collaborating with design, product, and leadership, and helping accelerate AI adoption while upholding our integrity and standards.