Sr. GenAI & ML Specialist Solutions Architect, ASPI Auto & Manufacturing

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Do you enjoy building impactful AI solutions?

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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. /p h3Worldwide Specialist Organization /h3 pThe 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.

WWSO teams include business development specialists and technical solution architects. We pride ourselves on thinking big, delivering exceptional customer outcomes, and collaborating seamlessly across AWS as #OneTeam. /p h3Key Job Responsibilities /h3 pIn this role, you will translate customer business challenges into solutions leveraging AWS.

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.

You will execute joint go‑to‑market motions with these partners and build proof‑of‑concepts for AI‑ and agent‑enabled applications. /p h3Core Responsibilities /h3 ul liCollaborate with business development colleagues to provide technical input into go‑to‑market strategy and support field marketing through technical events, campaigns, and customer engagements /li liLead complex technical problem solving to unblock customers’ most critical workloads /li liRepresent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams /li liAct as a thought leader in Generative AI by sharing best practices through AWS blogs, whitepapers, reference architectures, code samples, and public speaking engagements such as AWS Summits and AWS re:Invent /li liGuide and support an internal AWS community of technical subject matter experts aligned to your customers, including the creation of field enablement materials for the broader Solution Architect population /li /ul h3About the Team /h3 pDiverse Experiences: AWS values diverse experiences.

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. /p pInclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious.

When we feel supported in the workplace and at home, there’s nothing we can’t achieve. /p h3Basic Qualifications /h3 ul liBachelor’s degree (Master’s or PhD preferred) in Computer Science, Engineering, Mathematics, Applied Statistics, Data Science, or related fields /li liStrong conceptual understanding of machine learning fundamentals and modern Generative AI techniques /li liDeep expertise in software engineering, cloud architecture, data analytics, and AI/ML systems /li liProven track record in conceptual development, solution design, and implementation of enterprise applications using data, ML, and AI /li liExperience in customer‑facing roles such as pre‑sales, consulting, or similar /li liFluent English (written and spoken) required /li /ul h3Preferred Qualifications /h3 ul liExperience in adjacent technology domains such as database systems, big data, and analytics /li liAWS certifications strongly preferred (e.g., Solutions Architect, Machine Learning Engineer, Data Engineer) /li liExperience working with large enterprises in the Automotive and Manufacturing industries /li liStrong preference for experience in technical pre‑sales or customer‑facing architecture roles /li liGerman language skills /li /ul h3Equal Employment Opportunity Statement /h3 pAmazon is an equal opportunities employer. ph3About the Role /h3 pAre 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?

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.

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. You will define, design, and deploy targeted architectures that accelerate adoption of AWS Generative AI and ML services.

AWS collaborates with a range of partners in the AI ecosystem—including leading third‑party foundation model providers (e.g., Anthropic, Meta, Mistral, etc.). 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. /p pWhy AWS?: Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

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. /p pMentorship 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. /p pWork/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. 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 ( 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 for more information.

If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. /p h3Company Information /h3 pCompany: AWS EMEA SARL (Switzerland Branch) – G96br/Job ID: A /p /p #J-18808-Ljbffr