Senior AI & Enterprise Architect

McKinsey & Company; San Francisco (CA); On-site; USD 216,700 - 220,000; Full time

Job summary

McKinsey & Company is seeking a seasoned engineer to blend full-stack development and AI systems with consulting acumen. You will design scalable, production-grade solutions spanning data pipelines, ML models, and modern applications, integrating them into client ecosystems to drive measurable impact.

You will bridge technical and business teams, advise senior executives, and translate business needs into actionable technical roadmaps, guiding adoption and scaling while mentoring clients to

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related technical field.
• 10+ years of experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
• Deep expertise in full-stack development across frontend, backend, and cloud infrastructure, with strong command of data engineering, AI/ML systems, and deployment architectures.
• Proven experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
• Proficiency in modern cloud environments (AWS, Azure, GCP) and familiarity with containerization, orchestration, and serverless technologies.
• Strong understanding of deployment pipelines, observability, performance optimization, and security principles to ensure reliability, maintainability, and scalability.
• Experienced in dynamic, fast-paced environments; leverages strong engineering expertise and a passion for mentoring to build capabilities and deliver sustainable, measurable results.
• Proficient communicator skilled at simplifying complex technical concepts for diverse audiences, fostering alignment among stakeholders, and transforming ambiguity into clear, actionable strategies.

Responsibilities

• Design and build scalable, production-grade solutions, spanning data pipelines, ML models, and modern application layers, integrating them into client ecosystems.
• Bridge technical and business teams, ensuring seamless communication and alignment.
• Act as a trusted advisor to senior executives, translating business needs into actionable technical roadmaps and guiding solution development, adoption, and scaling.
• Build client capabilities by mentoring stakeholders and enabling them to sustain and scale technologies.
• Shape un-scoped or emerging projects, turning broad ambitions into actionable roadmaps and delivery plans.
• Balance hands-on technical execution with strategic advisory and leadership to deliver immediate results and long-term success.
• Help clients solve their most pressing challenges and contribute to McKinsey's reputation for delivering innovative, technology-driven solutions.

Skills

Full-stack development

AI solutions

Cloud & containers

DevOps & security

Mentoring

Communication

Education

Bachelor's or master's degree in CS/engineering

Job description

McKinsey & Company is seeking a seasoned engineer to blend full-stack development and AI systems with consulting acumen. You will design scalable, production-grade solutions spanning data pipelines, ML models, and modern applications, integrating them into client ecosystems to drive measurable impact.

You will bridge technical and business teams, advise senior executives, and translate business needs into actionable technical roadmaps, guiding adoption and scaling while mentoring clients to