Manager, AWS Architect
KPMG US - Short Hills, New Jersey, us, 07078
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Overview
Manager, AWS Architect
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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, AWS Architect in our Consulting practice. Responsibilities:
Design and develop scalable, secure, and robust AI solutions on AWS. Utilize AWS services such as SageMaker, Lambda, ECS, RDS, and others to build and deploy AI models and applications while optimizing for performance, scalability, and security. Work closely with data scientists and AI/ML engineers to understand requirements and translate them into effective architectural solutions. Provide technical leadership and guidance to development teams, ensuring best practices in AI and cloud architecture. Optimize AI and machine learning models for performance and cost-efficiency. Ensure high availability, fault tolerance, and disaster recovery for AI solutions. Qualifications:
A minimum of five years of proven experience as an AWS Architect with a strong focus on AI/ML solutions. Bachelor's or master's degree in computer science, Engineering, or a related field. AWS Certified Solutions Architect – Professional highly preferred. Strong understanding of AWS services and best practices for cloud-based AI solutions. Proficient in programming languages such as Python, Java, or similar. Experience with AI/ML frameworks and libraries and a familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) and strong knowledge of database technologies (SQL and NoSQL). Travel as required. 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. Additional details about our benefits can be found on our Careers site. KPMG is an equal opportunity employer and complies with all applicable laws.
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