Sr. Specialist Solutions Architect, Generative AI & ML - AmazonWebServices

Are you passionate about Artificial Intelligence, Machine Learning and Deep Learning? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/DL 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 Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call.AWS is looking for a Machine Learning Solutions Architect (ML SA), who will be the Subject Matter Expert (SME) for helping technology customers (Retail CPG, Startups and SMB, etc.) design solutions that leverage our ML services
As part of the team, you will work closely with customers 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 AI/ML space, and will leverage this knowledge to help AWS customers in their selection process.Roles and 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 Comprehend, Amazon Rekognition, Amazon Transcribe, Amazon Lex, Amazon Polly, Amazon Forecast, Amazon Personalize, and the 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
- 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 services teams to provide customer driven product improvement feedback
- Develop and support an AWS internal community of ML related subject matter experts in the AMERICAS.About the teamAbout AWSDiverse ExperiencesAWS values diverse experiences
Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply
If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform
We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious
Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences
Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer
That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony
Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture
When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. EEO/AccommodationsAWS is committed to a diverse and inclusive workplace to deliver the best results for our customers
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; we celebrate the diverse ways we work
For individuals with disabilities who would like to request an accommodation, please let us know and we will connect you to our accommodation team
You may also reach them directly by visiting  qualifications- 2+ years of design, implementation, or consulting in applications and infrastructures experience- 4+ years of specific technology domain areas (e.g
software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experiencePreferred qualification - Bachelor's degree in computer science, engineering, mathematics or equivalentAmazon 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
For individuals with disabilities who would like to request an accommodation, please visit 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
Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our compensation reflects the cost of labor across several US geographic markets
The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market
Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience
Amazon is a total compensation company
Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits
For more information, please visit position will remain posted until filled
Applicants should apply via our internal or external career site.