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Amazon Sr Specialist Solutions Architect, Data Integration/RAG, GenAI in Seattle, Washington

Description

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam

The Generative AI and Machine Learning (GenAI/ML) team guides AWS customers on building enterprise-grade GenAI systems. This role will support development of an architectural blueprint that our customers can use to build their own enterprise-wide Generative AI platforms, which will help them balance democratization of access to GenAI and speed of innovation with following best practices around trustworthy AI, cost efficiency, security, etc. This role specifically will be responsible for development of architectural guidance and implementation best practices around data preparation and integration for the purposes of GenAI applications, including RAG and model finetuning. The role with partner with others on the team to develop comprehensive and authoritative portfolio-wide guidance for AWS GenAI customers. The deliverables include: contributions to the joint architectural blueprint / whitepaper, thought leadership in the form of public writing and speaking, as well as internal enablement. The role has a global remit.

Key job responsibilities

  • Represent the voice of the customer; bring customer feedback to product teams to influence feature development and future product roadmap.

  • Provide advanced technical knowledge to your domain aligned GTM teams to unblock our customers’ largest and most critical business challenges.

  • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc.

  • Partner with Business Development teams to define the technical components of best in class GTM concepts, solutions, and initiatives.

  • Develop and support an AWS internal community of technical subject matter experts worldwide. Create field enablement materials for the broader SA population, to help them understand how to integrate Amazon Web Services solutions into customer architectures

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Basic Qualifications

  • 7+ years design/implementation/consulting experience of distributed applications

  • 5+ years management of technical, customer facing resources

  • 5+ years of hands-on experience with AI/ML or related technology domain

  • 5+ years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies

Preferred Qualifications

  • History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises

  • Experience migrating or transforming legacy customer solutions to the cloud Familiarity with common enterprise services

  • Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.

  • Strong written communication skills

  • Working knowledge of software development tools and methodologies

  • Experience working within software development or Internet-related industries

  • AWS Solution Architecture certification or relevant cloud expertise

  • Computer Science /relevant degree and/or experience highly desired

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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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