Amazon Web Services (AWS)
Applied Scientist, Generative AI Innovation Center
Amazon Web Services (AWS), Santa Clara, California, us, 95053
Overview
Applied Scientist, Generative AI Innovation Center – AWS Join to apply for the Applied Scientist, Generative AI Innovation Center role at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, assist in the implementation of generative AI solutions, brief customers and guide adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications
PhD degree in computer science, engineering, mathematics, operations research, or a highly quantitative field, or Masters degree plus 5 years of relevant work experience 5+ years of hands-on experience with Python to build, train, and evaluate models 2+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Experience in patents or publications at top-tier peer-reviewed conferences or journals Preferred Qualifications
Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Experience with designing high-quality prompts and templates for LLMs Experience with open source frameworks for LLM-powered applications (e.g., LangChain, LlamaIndex) Experience building generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker Strong communication skills with ability to convey rigorous technical concepts to non-experts Scientific thinking and a track record of thought leadership and contributions that advance the field About The Team
Diversity of experiences is valued at AWS. If you do not meet all preferred qualifications, we encourage you to apply. AWS promotes inclusion, mentorship, and career growth, with a culture that supports work-life balance and flexible working options. Company – Amazon Web Services, Inc. | Job ID: A3043025
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Applied Scientist, Generative AI Innovation Center – AWS Join to apply for the Applied Scientist, Generative AI Innovation Center role at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? The Generative AI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Responsibilities
Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges Interact with customers directly to understand their business problems, assist in the implementation of generative AI solutions, brief customers and guide adoption patterns and paths to production Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders Provide customer and market feedback to product and engineering teams to help define product direction Basic Qualifications
PhD degree in computer science, engineering, mathematics, operations research, or a highly quantitative field, or Masters degree plus 5 years of relevant work experience 5+ years of hands-on experience with Python to build, train, and evaluate models 2+ years of experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing Experience with design, development, and optimization of generative AI solutions, algorithms, or technologies Experience in patents or publications at top-tier peer-reviewed conferences or journals Preferred Qualifications
Experience with design, deployment, and evaluation of Large Language Model (LLM)-powered agents and tools and orchestration approaches Experience with designing high-quality prompts and templates for LLMs Experience with open source frameworks for LLM-powered applications (e.g., LangChain, LlamaIndex) Experience building generative AI applications on AWS using services like Amazon Bedrock and Amazon SageMaker Strong communication skills with ability to convey rigorous technical concepts to non-experts Scientific thinking and a track record of thought leadership and contributions that advance the field About The Team
Diversity of experiences is valued at AWS. If you do not meet all preferred qualifications, we encourage you to apply. AWS promotes inclusion, mentorship, and career growth, with a culture that supports work-life balance and flexible working options. Company – Amazon Web Services, Inc. | Job ID: A3043025
#J-18808-Ljbffr