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

Amazon; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking a Senior Specialist Solutions Architect focused on AI and Machine Learning. This role involves designing cutting-edge solutions using AWS services to meet diverse customer needs across various industries. You will leverage your deep technical expertise to guide clients in implementing AI/ML strategies, ensuring they maximize the benefits of AWS technologies. Join a team that is at the forefront of AI advancements, working collaboratively to drive customer success and shape the future of cloud computing. If you are passionate about technology and eager to make an impact, this opportunity is perfect for you.

Qualifications

• 8+ years of experience in software development or related tech domains.
• Experience in a technical role within a sales organization is essential.

Responsibilities

• Design solutions leveraging AWS AI/ML services for customer needs.
• Collaborate with teams to drive customer adoption of AWS services.

Skills

Artificial Intelligence

Machine Learning

Generative AI

Data Science

Cloud Computing

Technical Communication

Education

Bachelor's Degree in Computer Science or related field

Tools

Amazon SageMaker

AWS

Apache MxNet

TensorFlow

Amazon Rekognition

Amazon Comprehend

Amazon Lex

Job description

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

Job ID: 2945651 | Amazon Web Services, Inc.

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.

Key job responsibilities

1. 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.
2. 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.
3. 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.
4. Act as a technical liaison between customers and the AWS SageMaker or other service teams to provide customer driven product improvement feedback.
5. Develop and support an AWS internal community of GenAI related subject matter experts in the AMERICAS.

About the team

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

BASIC QUALIFICATIONS

1. 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
2. 3+ years of design, implementation, or consulting in applications and infrastructures experience
3. Experience in a technical role within a sales organization

PREFERRED QUALIFICATIONS

1. 5+ years of IT development or implementation/consulting in the software or Internet industries experience
2. Experience working with end user or developer communities
3. Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
4. Experience architecting/operating solutions built on AWS

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.