Senior Specialist Solutions Architect GenAI/ML, AGS Specialist Solutions Architects

Amazon • San Francisco, CA

23d

About The Position

Are 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. 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.

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 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, Health Care and Life
Sciences, 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.

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.

If you are a qualified and accepted candidate, you may work out of any of the
following cities: San Jose, Los Angeles, Seattle, Chicago, Austin, Dallas,
Atlanta, Arlington.

Travel up to 50% across the USA may be possible.

Requirements

• 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

Nice To Haves

• 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

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 Services including SageMaker, Amazon Bedrock, Amazon AgentCore, Amazon Rekognition, Amazon Transcribe, Amazon Quick, 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.

Benefits

• Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.
• Learn more about our benefits at https://amazon.jobs/en/benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed