Sr Specialist Solutions Architect, Data Integration/RAG in Munich, Germany

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.

AWS Sales, Marketing, and Global Services (SMGS) 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.

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

A day in the life

A day in the life

Diverse Experiences

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.

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 Culture

Here 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 Growth

We’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 Balance

We 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.

About the team

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.

We’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.

We 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.

Here 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.

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.

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 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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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