Amazon
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
Amazon, Atlanta, Georgia, United States, 30383
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Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
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Amazon Web Services (AWS) 5 days ago Be among the first 25 applicants Join to apply for the
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
role at
Amazon Web Services (AWS) Description AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. The Role The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build scalable, flexible, and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other teams to help address customer business challenges and promote AWS service adoption. As a trusted customer advocate, you will help organizations understand best practices for advanced cloud-based solutions, providing advice on building, migrating, and scaling generative AI & ML workloads in the cloud. Youll drive successful business outcomes by educating, training, designing, and building cloud solutions. Using ML and Generative AI tools such as Amazon SageMaker, Amazon Bedrock, Amazon Q, and others, you will design, evangelize, and implement state-of-the-art solutions for complex problems. You will develop generative AI industry solutions involving large-scale data processing and modeling, defining requirements, creating solutions, implementing code, and supporting deployed solutions. You will help shape and execute strategies to foster AWS adoption within your customers, mobilizing internal resources and working with partner networks. Travel is mostly regional, estimated at 15-20%. Key job responsibilities Ensure success in designing, building, and migrating applications, software, and services on AWS. Engage directly with customers to understand their business problems and assist in implementing their AI/ML ecosystems. Educate customers on AWS value propositions and showcase potential solutions. Participate in architectural discussions and design exercises for AWS-based solutions, ensuring successful cloud deployment. Author and contribute to AWS publications such as whitepapers, workshops, demos, and proof of concepts. Build relationships with senior technical stakeholders within customers to enable cloud advocacy. Share best practices within the AWS Architect community. About The Team Diverse Experiences We value diverse experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. If your career path is non-traditional or includes alternative experiences, dont hesitate to apply. Why AWS? AWS is the most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups and Fortune 500 companies alike. Inclusive Team Culture We promote inclusion and pride in our diversity through employee-led affinity groups and inclusion events that foster collaboration and innovation. Mentorship & Career Growth We support professional development through knowledge-sharing, mentorship, and career resources. Work/Life Balance We value flexibility to support work-life harmony, believing supported employees perform their best. Basic Qualifications 5+ years in technology domains such as software development, cloud computing, systems engineering, security, networking, data & analytics. 3+ years in application and infrastructure design, implementation, or consulting. 7+ years in IT development or related consulting roles. Hands-on experience deploying full-stack generative AI workloads to production. Preferred Qualifications Experience optimizing production generative AI or Hybrid AI workloads for cost, latency, resilience. PhD in Computer Science with specialization in Machine Learning, Deep Learning, or NLP, or Masters with a strong AI/ML focus. Knowledge of automation and workflow management at large scale. Amazon is an equal opportunity employer and considers qualified applicants with arrest and conviction records in accordance with applicable laws. #J-18808-Ljbffr
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
role at
Amazon Web Services (AWS) 5 days ago Be among the first 25 applicants Join to apply for the
Senior Applied AI Architect, Applied AI & Data Architecture (AIDA)
role at
Amazon Web Services (AWS) Description AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. The Role The Amazon Web Services (AWS) Senior Applied AI Architect partners with customers to design and build scalable, flexible, and resilient cloud architectures and solutions. AWS Applied AI Architects collaborate with AWS Sales and other teams to help address customer business challenges and promote AWS service adoption. As a trusted customer advocate, you will help organizations understand best practices for advanced cloud-based solutions, providing advice on building, migrating, and scaling generative AI & ML workloads in the cloud. Youll drive successful business outcomes by educating, training, designing, and building cloud solutions. Using ML and Generative AI tools such as Amazon SageMaker, Amazon Bedrock, Amazon Q, and others, you will design, evangelize, and implement state-of-the-art solutions for complex problems. You will develop generative AI industry solutions involving large-scale data processing and modeling, defining requirements, creating solutions, implementing code, and supporting deployed solutions. You will help shape and execute strategies to foster AWS adoption within your customers, mobilizing internal resources and working with partner networks. Travel is mostly regional, estimated at 15-20%. Key job responsibilities Ensure success in designing, building, and migrating applications, software, and services on AWS. Engage directly with customers to understand their business problems and assist in implementing their AI/ML ecosystems. Educate customers on AWS value propositions and showcase potential solutions. Participate in architectural discussions and design exercises for AWS-based solutions, ensuring successful cloud deployment. Author and contribute to AWS publications such as whitepapers, workshops, demos, and proof of concepts. Build relationships with senior technical stakeholders within customers to enable cloud advocacy. Share best practices within the AWS Architect community. About The Team Diverse Experiences We value diverse experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. If your career path is non-traditional or includes alternative experiences, dont hesitate to apply. Why AWS? AWS is the most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups and Fortune 500 companies alike. Inclusive Team Culture We promote inclusion and pride in our diversity through employee-led affinity groups and inclusion events that foster collaboration and innovation. Mentorship & Career Growth We support professional development through knowledge-sharing, mentorship, and career resources. Work/Life Balance We value flexibility to support work-life harmony, believing supported employees perform their best. Basic Qualifications 5+ years in technology domains such as software development, cloud computing, systems engineering, security, networking, data & analytics. 3+ years in application and infrastructure design, implementation, or consulting. 7+ years in IT development or related consulting roles. Hands-on experience deploying full-stack generative AI workloads to production. Preferred Qualifications Experience optimizing production generative AI or Hybrid AI workloads for cost, latency, resilience. PhD in Computer Science with specialization in Machine Learning, Deep Learning, or NLP, or Masters with a strong AI/ML focus. Knowledge of automation and workflow management at large scale. Amazon is an equal opportunity employer and considers qualified applicants with arrest and conviction records in accordance with applicable laws. #J-18808-Ljbffr