Senior Specialist Solutions Architect, Amazon
GenAI/ML, AGS Specialist Solutions Architects
$138.2-239k
More information about location
The largest online retailer and technology provider
Open for applications
The largest online retailer and technology provider
1001+ employees
Open for applications
$138.2-239k
More information about location
1001+ employees
Company mission
To be Earth's most customer-centric company.
Role
Who you are
- Are you passionate about Artificial Intelligence, Machine Learning, and Generative AI?
- Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)?
- 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
- 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
- Experience in a technical role within a sales organization
Desirable
- 5+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience architecting/operating solutions built on AWS
What the job involves
- AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping customers in the AMERICAS design solutions that leverage our ML services
- As part of the team, you will work closely with customers in one or more industry verticals (Financial Services, Media and Entertainment, Manufacturing, Technology, Software & Internet, Retail, etc.) 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
- 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 Services including SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Personalize, and other AI/ML services
- Partner with SAs, Sales, Business Development and the AI/ML Service teams to accelerate customer adoption and revenue attainment in the AMERICAS for Amazon SageMaker and related services that support GenAI use cases
- Thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc
- Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback
- Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS
Our take
Amazon is the world's largest online retailer, and is well-known for its disruption of well-established industries. The company is present in numerous verticals, including cloud computing with Amazon Web Services, AI with its range of Alexa devices and a global marketplace more commonly referred to as 'the everything store'. Acquisitions include Ring, Twitch, Whole Foods Market, and IMDb.
More recently, Amazon has been focused on leading the "third wave in digital advertising". Many businesses are now shifting ad dollars to retailers, which before would have been spent with online media platforms. Amazon's seen great success in the space, with its revenue from advertising now higher than its Amazon Prime membership scheme, audiobooks and digital music combined. This growth is particularly impressive considering its digital ad rivals (like Snap, Alphabet, and Meta) have suffered declines due to wider macroeconomic factors and Apple's iOS privacy changes.
Despite its dominant market position, Amazon will continue to be challenged over the next decade, including sustaining AWS's cloud dominance in the face of Google and Microsoft. On top of this, the company's e-commerce division is facing profitability problems despite its 2023 post-IPO debt funding of 8 billion. It will need to find new ways to stay above their competitors.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company HQ
South Lake Union, Seattle, WA
Leadership
Jeff Bezos
(Founder & Executive Chairman)Jeff is an American business magnate, media proprietor, and investor. As well as founding Amazon, Jeff founded Blue Origin, an aerospace manufacturer and sub-orbital spaceflight services company and also owns The Washington Post.
Andy Jassy
(President & CEO)Joined Amazon as a Marketing Manager in 1997. Developed AWS with Jeff Bezos, and became CEO of Amazon in 2021.
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