Manager, AI Engineer

About the role

KPMG Advisory is seeking a Manager, AI Engineer to design and deliver enterprise-grade AI/ML solutions, lead client engagements, and mentor teams within a collaborative, team-driven culture. The role emphasizes adaptability, technical excellence, and continuous learning in a firm that prioritizes professional and personal growth.

Responsibilities

• End-to-end design and development of AI/ML solutions using cloud AI services (Microsoft Azure, AWS, Google Cloud).
• Define solution architectures integrating LLMs, generative AI, and traditional ML with enterprise platforms.
• Manage AI projects including architecture design, model development, integration, testing, and enterprise-grade adoption, ensuring adherence to MLOps, security, compliance, and scalability best practices.
• Partner directly with clients to translate business objectives into technical solutions aligned with enterprise strategy and measurable outcomes.
• Lead workshops and design sessions with executives, business stakeholders, and technical teams to shape AI roadmaps; oversee deliverable quality and timelines while proactively managing risks and dependencies.
• Mentor and coach junior engineers and consultants, fostering innovation, technical excellence, and continuous learning.
• Collaborate with strategic alliance partners (Microsoft, Google, AWS, Salesforce) to incorporate the latest ecosystem innovations into client engagements.
• Stay current with emerging AI/ML technologies, frameworks, and tools, evaluating their applicability for client needs.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment.

Qualifications

• Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with at least two years in a consulting or client-facing leadership role.
• Master’s degree from an accredited college or university preferred; minimum Bachelor’s degree in computer science, data science, engineering, or related field required.
• Professional certifications in cloud AI/ML platforms (e.g., Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus.
• Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems, with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships.
• Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI).
• Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines.
• Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices.
• Experience building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions.
• Knowledge of AI security, data privacy, governance, and ethical AI frameworks.
• Strong problem-solving skills with the ability to translate complex technical concepts for executives; excellent verbal and written communication skills, including experience creating client-facing deliverables.
• Willingness and ability to travel.
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Pay

California Salary Range: $153,710 – $267,030