Sr Worldwide Specialist Solutions Architect - GenAI, Amazon SageMaker
DESCRIPTION
Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us!
At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.
AWS is looking for a GenAI/ML Solutions Architect (GenAI/ML SA), who will be the Subject Matter Expert (SME) for helping customers worldwide design solutions that leverage our ML services. This role will specifically specialize in using state-of-the-art techniques to pre-train and fine-tune foundation models. As part of the team, you will work closely with customers to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence, specifically in advanced generative AI technologies. A strong mathematics and statistics background is preferred in addition to experience fine-tuning foundation models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.
If you are a qualified and accepted candidate, you may work out of London. Travel up to 50% across the EMEA may be possible.
Key job responsibilities • Thought Leadership - Promote AWS GenAI/ML services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. • Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment worldwide for Amazon SageMaker. • Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback. • Develop and support an AWS internal community of ML related subject matter experts worldwide.
BASIC QUALIFICATIONS
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience • 3+ years of design, implementation, or consulting in applications and infrastructures experience • 10+ years of IT development or implementation/consulting in the software or Internet industries experience
PREFERRED QUALIFICATIONS
• 5+ years of infrastructure architecture, database architecture and networking experience • Experience working with end user or developer communities
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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DESCRIPTION
Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL tools on Amazon Web Service (AWS)? Come join us!
At Amazon, we've been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com's recommendations engine is driven by machine learning (ML), as are the paths that optimize robotic picking routes in our fulfillment centers. Our supply chain, forecasting, and capacity planning are also informed by ML algorithms. Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.
AWS is looking for a GenAI/ML Solutions Architect (GenAI/ML SA), who will be the Subject Matter Expert (SME) for helping customers worldwide design solutions that leverage our ML services. This role will specifically specialize in using state-of-the-art techniques to pre-train and fine-tune foundation models. As part of the team, you will work closely with customers to enable large-scale use cases, design ML pipelines, and drive the adoption of AWS for the AI/ML platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers to fully leverage AI/ML on AWS. Additionally, as the voice of the customer, you will work closely with the service teams, and submit product feature requests to drive the platform forward.
You must have deep technical experience working with technologies related to artificial intelligence, specifically in advanced generative AI technologies. A strong mathematics and statistics background is preferred in addition to experience fine-tuning foundation models. You will be familiar with the ecosystem of software vendors in the AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.
If you are a qualified and accepted candidate, you may work out of London. Travel up to 50% across the EMEA may be possible.
Key job responsibilities • Thought Leadership - Promote AWS GenAI/ML services and share best practices through forums such as AWS blogs, white-papers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc. • Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment worldwide for Amazon SageMaker. • Act as a technical liaison between customers and the AWS SageMaker services teams to provide customer driven product improvement feedback. • Develop and support an AWS internal community of ML related subject matter experts worldwide.
BASIC QUALIFICATIONS
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience • 3+ years of design, implementation, or consulting in applications and infrastructures experience • 10+ years of IT development or implementation/consulting in the software or Internet industries experience
PREFERRED QUALIFICATIONS
• 5+ years of infrastructure architecture, database architecture and networking experience • Experience working with end user or developer communities
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
#J-18808-Ljbffr
