Sr. Solutions Architect, AI/ML, Product Acceleration SA
Job ID: 2776877 | Amazon Web Services, Inc.
Are you passionate about Artificial Intelligence, Machine Learning, and Generative AI? Are you passionate about helping software 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. From Amazon.com's recommendations to Alexa's natural language processing and our supply chain optimization, machine learning is integrated throughout our operations and services. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it's a big part of our heritage.
Within AWS, we’re focused on bringing that knowledge and capability to customers through three layers of the AI stack: 1) Frameworks and Infrastructure with tools like Apache MxNet and TensorFlow, 2) Machine Learning Platforms such as Amazon SageMaker for data scientists, and, 3) API-driven Services like Amazon Bedrock, Amazon Lex, Amazon Kendra, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with simple API calls.
AWS is looking for a Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers in the design of solutions that leverage our AI/ML/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 AI/ML platforms. You will work closely with AWS product development experts and AI/ML advisors, and interact with other SAs in the field, providing guidance on their customer engagements, and you will develop presentations, demos, workshops, blogs, and reference implementations to enable customers to fully leverage AI/ML/GenAI on AWS. Additionally, as the voice of the customer, you will work closely with the AWS 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, machine learning and/or deep learning. A strong mathematics and statistics background is preferred in addition to experience building complex machine learning models. You will be familiar with the ecosystem of software vendors in the GenAI space, and will leverage this knowledge to help AWS customers in their selection process.
Travel Requirements: This role may require up to 30% travel.
BASIC QUALIFICATIONS
- 3+ years of AI/ML/GenAI experience
- 3+ years experience architecting solutions built on AWS
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
PREFERRED QUALIFICATIONS
- 3+ years of software application design and development experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in a technical role within a sales organization
- Experience developing software solutions used by public sector customers
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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