Amazon Web Services (AWS)
Sr. Deep Learning Architect, Generative AI Innovation Center
Amazon Web Services (AWS) - Mountain View, California, us, 94039
Work at Amazon Web Services (AWS)
Overview
- View job
Overview
Sr. Deep Learning Architect, Generative AI Innovation Center
Join to apply for the
Sr. Deep Learning Architect, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Sr. Deep Learning Architect, Generative AI Innovation Center
1 day ago Be among the first 25 applicants Join to apply for the
Sr. Deep Learning Architect, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Description
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. Description
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 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.
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.
Key job responsibilities
As a Deep Learning Architect, you will
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 stakeholder Provide customer and market feedback to product and engineering teams to help define product direction
About The Team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
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 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3043030 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for “Deep Learning Specialist” roles.
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $138,225.00-$207,575.00 2 weeks ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $141,000.00-$202,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $100,500.00-$173,250.00 3 days ago Software Engineer (L4), Content & Business Products
New Grads 2025 - Software Engineer, Algorithm
San Jose, CA $120,000.00-$165,000.00 10 months ago New Grads 2025 - General Software Engineer
San Jose, CA $120,000.00-$165,000.00 5 months ago Palo Alto, CA $96,000.00-$200,000.00 2 weeks ago Mountain View, CA $130,000.00-$176,000.00 1 week ago Sunnyvale, CA $167,000.00-$185,500.00 5 days ago Software Engineer (L5) - Open Connect Platform
San Jose, CA $113,400.00-$206,300.00 2 weeks ago Palo Alto, CA $119,000.00-$179,000.00 2 weeks ago Software Engineer, Research Infrastructure (University Grad)
Software Engineer(s) - New Grad (Fall 2025 Graduation)
San Jose, CA $100,500.00-$173,250.00 1 week ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago UI Software Engineer (L4/L5), Partner Payments Lifecycle Apps
Santa Clara, CA $150,000.00-$175,000.00 8 months ago Sunnyvale, CA $117,000.00-$234,000.00 2 weeks ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 5 days ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago Software Engineer(s) - New Grad (Fall 2025 Graduation)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Join to apply for the
Sr. Deep Learning Architect, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Sr. Deep Learning Architect, Generative AI Innovation Center
1 day ago Be among the first 25 applicants Join to apply for the
Sr. Deep Learning Architect, Generative AI Innovation Center
role at
Amazon Web Services (AWS) Description
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. Description
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 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.
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.
Key job responsibilities
As a Deep Learning Architect, you will
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 stakeholder Provide customer and market feedback to product and engineering teams to help define product direction
About The Team
ABOUT AWS:
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
AWS Global Services
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Generative AI Innovation Center. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
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 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company
- Amazon Web Services, Inc.
Job ID: A3043030 Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Research, Science, and Engineering Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Amazon Web Services (AWS) by 2x Sign in to set job alerts for “Deep Learning Specialist” roles.
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $138,225.00-$207,575.00 2 weeks ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $141,000.00-$202,000.00 1 week ago Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $100,500.00-$173,250.00 3 days ago Software Engineer (L4), Content & Business Products
New Grads 2025 - Software Engineer, Algorithm
San Jose, CA $120,000.00-$165,000.00 10 months ago New Grads 2025 - General Software Engineer
San Jose, CA $120,000.00-$165,000.00 5 months ago Palo Alto, CA $96,000.00-$200,000.00 2 weeks ago Mountain View, CA $130,000.00-$176,000.00 1 week ago Sunnyvale, CA $167,000.00-$185,500.00 5 days ago Software Engineer (L5) - Open Connect Platform
San Jose, CA $113,400.00-$206,300.00 2 weeks ago Palo Alto, CA $119,000.00-$179,000.00 2 weeks ago Software Engineer, Research Infrastructure (University Grad)
Software Engineer(s) - New Grad (Fall 2025 Graduation)
San Jose, CA $100,500.00-$173,250.00 1 week ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago UI Software Engineer (L4/L5), Partner Payments Lifecycle Apps
Santa Clara, CA $150,000.00-$175,000.00 8 months ago Sunnyvale, CA $117,000.00-$234,000.00 2 weeks ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 5 days ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago Software Engineer(s) - New Grad (Fall 2025 Graduation)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr