KPMG US
KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we do not anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
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) H KPML is an equal‑opportunity employer and complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state and local laws. No phone calls or agencies please.
#J-18808-Ljbffr
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) H KPML is an equal‑opportunity employer and complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state and local laws. No phone calls or agencies please.
#J-18808-Ljbffr