Manager, AI Engineer

KPMG LLP; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

KPMG LLP is seeking a Manager, AI Engineer to join our Advisory Services practice in San Francisco. You will drive end-to-end AI/ML solution design using Azure, AWS, and Google Cloud, and define architectures integrating LLMs with enterprise platforms.

You will lead projects, collaborate with executives and clients, mentor engineers, and ensure delivery quality with a focus on MLOps, security, and compliance. Willingness to travel is expected.

Qualifications

• Five years of AI/ML, data engineering, or cloud solution engineering experience, with two years in leadership.
• Bachelor’s degree in CS/Eng/Data Science required; Master’s preferred; cloud certifications a plus.

Responsibilities

• End-to-end design and development of AI/ML solutions using cloud services.
• Define architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms.
• Manage AI projects from architecture to testing, following MLOps, security, and governance.

Skills

AI/ML engineering

Data engineering

Cloud platforms

Python

API development

MLOps

Leadership

Client-facing

Security & governance

Education

Bachelor's degree in CS/Eng/Data Science

Master's degree preferred

Tools

Azure

AWS

Google Cloud

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)