Technical Lead Manager, Forward Deployed Engineering

Responsibilities

• Lead a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, owning the full arc from problem framing to MVP to deployed workflow;
• Define and own the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram;
• Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness;
• Mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code;
• Provide hands-on leadership and mentorship to a team of engineers, coaching them through complex challenges while actively contributing to the build;
• Foster a culture of high talent density where every member raises the bar and enable them to deliver quality at speed;
• Lead working sessions and facilitate collaboration across client stakeholders from engineers to the C-suite and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption;
• Champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase capacity of delivery, increase quality, and deliver faster;
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment.

Qualifications

• Minimum seven years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications;
• Solid experience with cloud platforms (Azure, GCP, or AWS);
• Bachelor's degree from an accredited college or university in a science or engineering field;
• Preferred: Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience in a hands-on leadership role;
• Experience and passion for working directly with stakeholders to make an outsized impact;
• Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems;
• Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments;
• Demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped;
• Domestic travel may be required.

Benefits

KPMG offers a comprehensive compensation and benefits package, including:

• A robust suite of personal well-being benefits to support your mental health;
• Personal Time Off per fiscal year;
• A calendar of holidays to be observed during the year;
• Additional details about our benefits can be found on our KPMG US Careers site.

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