Sr Specialist Solutions Architect, Genai And Aiml - Milano, Italia - Amazon

Descrizione

Sr Specialist Solutions Architect, GenAI and AIMLJob ID: | AWS EMEA SARL (Italy Branch)

• 5+ years of design, implementation, or consulting in applications and infrastructures experience
• 3+ years of specific technology AIML and GenAI areas experience
• 3+ years of IT development or implementation/consulting in the software or Internet industries experience

DESCRIPTIONAre you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI 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.

'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 Machine Learning and Generative AI Solutions Architect, who will be the Subject Matter Expert (SME) for helping customers in Europe South (Italy, Spain and Portugal) design solutions that leverage our GenAI services, including Amazon Bedrock, Amazon SageMaker, and Amazon Q.

As part of the team, you will work closely with customers to enable large-scale use cases, design GenAI pipelines, and drive the adoption of AWS for the AIML and GenAI 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 GenAI 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.

Key job responsibilities

• Working with customers' development and data science teams to deeply understand their business and technical needs. After understanding their needs, you will design solutions that make the best use of the AWS cloud platform and AWS AI/ML/ GenAI Services.
• Partner with SAs, Sales, Business Development and the AI/ML/GenAI Service teams to accelerate customer adoption and revenue attainment in Europe South (Italy, Spain and Portugal).
• Thought Leadership – Evangelize AWS AI/ML/GenAI services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and publicspeaking events such as AWS Summit, AWS re:Invent, etc.

We are open to hiring candidates to work out of one of the following locations:

Milan, MI, ITA
PREFERRED QUALIFICATIONS- Experience working within software development or Internet-related industries

• Experience migrating or transforming legacy customer solutions to the cloud
• Experience working with AWS technologies from a dev/ops perspective
• Experience in technology/software sales, presales, or consulting
• Experience in IT development or implementation/consulting in the software or Internet industries
• Knowledge of software development tools and methodologies

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.
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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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