Manager, AI Engineer

KPMG LLP; Seattle (WA); On-site; USD 150,000 - 190,000; Full time

Job summary

KPMG LLP is seeking a Manager, AI Engineer to join our Advisory Services practice. You will lead end-to-end design and deployment of AI/ML solutions across cloud platforms and enterprise systems.

In this role you will partner with clients, translate business objectives into technical outcomes, mentor teams, and shape AI roadmaps while ensuring security, governance, and scalable architectures.

Join a culture of innovation and client impact at KPMG LLP in the Seattle area.

Qualifications

• 5+ years of AI/ML, data engineering, or cloud engineering experience.
• Experience consulting or leading client-facing teams.
• Track record delivering enterprise AI/ML solutions and cloud integrations.

Responsibilities

• Design and develop AI/ML solutions using cloud AI services across Azure, AWS, and Google Cloud.
• Define architectures integrating LLMs, generative AI, and enterprise systems.
• Lead AI projects, ensure MLOps, security, compliance, and scalability.
• Partner with clients to translate objectives into technical outcomes.
• Collaborate with Microsoft, Google, AWS, and Salesforce on innovations.
• Stay current with AI/ML tech and assess applicability to client needs.
• Mentor junior engineers and consultants.

Skills

AI/ML engineering

Data engineering

Cloud solutions

Python

Leadership

Education

Master's degree

Bachelor's degree in CS/DS/Engineering

Cloud certifications

Tools

Azure AI/ML

AWS SageMaker

Google Vertex AI

CI/CD

Job description

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice.

Responsibilities:

• End-to-end design and development of AI/ML solutions, leveraging cloud AI services (Microsoft Azure, AWS, Google Cloud)
• Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms
• Manage AI projects including architecture design, model development, integration, and testing, and ensure projects follow best practices in MLOps, security, compliance, and scalability to support enterprise-grade adoption; partner directly with clients to translate business objectives into technical solutions, aligning 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 a culture of 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, and evaluate 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 a minimum two years in a consulting or client-facing leadership role
• Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required; Professional certifications in cloud AI/ML platforms (for example: 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 in 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, with 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; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)