Senior Software Engineer - QuantumBlack, AI by McKinsey

Your Impact

You will bring deep technical expertise and engineering leadership to some of the most complex and high-impact challenges facing clients across industries. You will own architectural decisions, set the technical direction for your workstream, and ensure the team delivers scalable, production-ready solutions that create lasting value.

You will work hands-on across the full stack, designing robust systems and making technical judgments — on architecture, framework selection, cloud design, and the thoughtful application of AI — that shape what your team builds and how they build it.

You will mentor both client and internal teams, helping engineers at all levels grow their craft and adopt the engineering practices that make great software possible. Your technical leadership will be felt not just in the code you write, but in the standards, you set and the people you develop along the way.

Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you will help develop innovative software capabilities and scalable enterprise solutions.

You will help build robust technical foundations for production-ready, AI-enabled systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.

Your Impact

You will work in cross-functional teams, collaborating closely with designers, product managers, and industry experts to deliver software solutions.

You will partner with clients from technical teams to C-level executives, helping solve complex problems that drive tangible business value and continue to grow your skills as a client-facing technologist.

Your Qualifications and Skills

• Undergraduate or master’s degree; or equivalent experience
• 5+ years of experience developing full-stack applications, writing code that is readable, testable, maintainable, and scalable
• Deep proficiency in at least two frontend or backend frameworks, with the ability to independently evaluate and select packages, define data structures, and deliver robust, scalable solutions across the full stack; hands-on experience with languages and frameworks including JavaScript/TypeScript, React, Angular, Next.js, Vue.js, Java, Spring, C#, or Node.js; SQL and NoSQL databases; cloud platforms (AWS, Azure, or GCP); and CI/CD tooling (Jenkins, Docker, CircleCI, or similar)
• Demonstrated ability to design complex, secure APIs — including REST and GraphQL — with a focus on scalability and maintainability, implementing advanced features such as rate limiting, caching, and API gateways, grounded in expert knowledge of software design patterns including microservices and distributed architectures
• Advanced proficiency in AI-assisted engineering, orchestrating specialized agents across parallel workstreams, building reusable agent tooling, and exercising sound technical judgment on AI safety and application boundaries
• Experience architecting AI systems and ensuring engineering quality, utilizing robust LLM evaluation frameworks, guardrails, and validation methodologies to deliver reliable, production-grade AI applications
• A security-first mindset, able to advocate for standards and compliance, implement authentication flows such as OAuth and OIDC, proactively identify and mitigate security issues during development, and mentor others in secure development practices; ensures quality through comprehensive testing strategies and performance optimization
• Experience leading collaborative, cross-functional engineering teams and fostering a strong engineering culture
• Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
• Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels