Are you a customer‑obsessed builder passionate about helping customers achieve their full potential? Do you have the business acumen and technical pre‑sales expertise to help customers evaluate, design, and adopt AWS as their strategic platform for Generative AI and ML workloads? Do you enjoy building impactful AI solutions? Join Worldwide Specialist Organization (WWSO) within the Data & AI Specialists team for Automotive & Manufacturing as a Senior Generative AI & ML Specialist Solutions Architect—a senior individual contributor role requiring deep technical expertise and executive‑level customer engagement.
The Worldwide Specialist Organization (WWSO) is part of the AWS Specialists and Partners organization, responsible for driving revenue and accelerating adoption of cloud and partner services across private and public sector customers. We work backwards from our customers’ most complex and business‑critical challenges to develop and execute go‑to‑market plans that transform ideas into scalable, high‑impact businesses. WWSO teams include business development specialists and technical solution architects. As part of WWSO, you will contribute across the full lifecycle of AWS customer initiatives—from shaping new service and solution concepts to accelerating adoption of established offerings. We pride ourselves on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly across AWS as #OneTeam.
In this role, you will translate customer business challenges into solutions leveraging AWS. You will define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services. You will engage with senior engineers, architects, product leaders, data scientists, and executives at strategic enterprise customers to influence architectural decisions and provide structured feedback to AWS product teams. AWS collaborates with a range of partners in the AI ecosystem—including leading third‑party foundation model providers (e.g., Anthropic, Meta, Mistral, etc.). You will execute joint go‑to‑market motions with these partners and build proof‑of‑concepts for AI‑ and agent‑enabled applications.
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed, 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 empowers 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.
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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.
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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company: AWS EMEA SARL (Switzerland Branch) – G96
Job ID: A3187906