Amazon
Senior Deep Learning Architect, Generative AI Innovation Center
Amazon, Seattle, Washington, us, 98127
Senior Deep Learning Architect, Generative AI Innovation Center
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? 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 plan for launching solutions at scale.
The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast‑paced organization that contributes to game‑changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine‑tune state‑of‑the‑art solutions for never‑before‑solved problems.
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, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
Create and deliver best‑practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
Provide customer and market feedback to product and engineering teams to help define product direction.
About the team AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
5+ years of experience in designing, building, and/or operating cloud solutions in a production environment.
4+ years of experience hosting and deploying ML solutions (e.g., for training, fine‑tuning, and inference).
4+ years of hands‑on experience with Python to build, train, and evaluate models.
4+ years of technical client engagement experience.
Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field.
3+ years experience working with deep learning, machine learning, generative AI, or statistics.
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
Experience communicating across technical and non‑technical audiences, including executive level stakeholders or clients.
Experience building cloud solutions with AWS.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Posted:
October 16, 2025 (Updated about 4 hours ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast‑paced organization that contributes to game‑changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine‑tune state‑of‑the‑art solutions for never‑before‑solved problems.
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, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
Create and deliver best‑practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
Provide customer and market feedback to product and engineering teams to help define product direction.
About the team AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Basic Qualifications
Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience).
5+ years of experience in designing, building, and/or operating cloud solutions in a production environment.
4+ years of experience hosting and deploying ML solutions (e.g., for training, fine‑tuning, and inference).
4+ years of hands‑on experience with Python to build, train, and evaluate models.
4+ years of technical client engagement experience.
Preferred Qualifications
Masters or PhD degree in computer science, or related technical, math, or scientific field.
3+ years experience working with deep learning, machine learning, generative AI, or statistics.
Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
Experience communicating across technical and non‑technical audiences, including executive level stakeholders or clients.
Experience building cloud solutions with AWS.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Posted:
October 16, 2025 (Updated about 4 hours ago)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
#J-18808-Ljbffr