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KPMG US · 7 hours ago

Manager, AI Engineer

Dallas, TX

Full-time

Hybrid

Senior Level

5+ years exp

KPMG is a leading advisory firm experiencing rapid growth and is seeking a Manager, AI Engineer to join their Advisory Services practice. The role involves designing and developing AI/ML solutions, managing projects, and collaborating with clients and strategic partners to deliver innovative AI solutions.

Financial Services

No H1B

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

Qualification

AI/ML solutionsCloud AI platformsPythonMLOps frameworksData engineeringConversational AIProblem-solvingCommunication skillsTeam collaboration

Required

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

Minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required

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

Preferred

Master's degree from an accredited college or university preferred

Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus