Sr Specialist Solutions Architect, Data Integration / RAG

Job Title : AWS Specialist Solutions Architect

Experience Requirements :

• 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

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 will 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 :

Inclusivity and Work Culture :

AWS values diverse experiences. Even if you do not meet all of the 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.

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.

Minimum Qualifications :

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.

J-18808-Ljbffr