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

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 the Worldwide Specialist Organization (WWSO) within the Data & AI Specialists team for Automotive & Manufacturing as a Senior Generative AI & ML Specialist Solutions Architecta 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 initiativesfrom 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.


Key job responsibilities
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 ecosystemincluding 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.
As the ideal candidate you bring a deep technical background and the business acumen required to lead complex engagements with large enterprises. You have hands-on expertise in traditional ML concepts as well as emerging areas such as LLMs RAG fine-tuning AI system evaluation prompt engineering agents and AIOps. You are able to credibly advise senior technical and executive stakeholders on architectural trade-offs risks and long-term strategy.

Core Responsibilities:
- Collaborate with business development colleagues to provide technical input into go-to-market strategy and support field marketing through technical events campaigns and customer engagements

- Lead complex technical problem solving to unblock customers most critical workloads

- Represent the voice of the customer and collaborate with field and central teams to bring customer feedback to product teams

- Act 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

- Guide 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


About the team
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Work/Life Balance
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- Bachelors degree (Masters or PhD preferred) in Computer Science Engineering Mathematics Applied Statistics Data Science or related fields
- Strong conceptual understanding of machine learning fundamentals and modern Generative AI techniques
- Deep expertise in software engineering cloud architecture data analytics and AI/ML systems
- Proven track record in conceptual development solution design and implementation of enterprise applications using data ML and AI
- Experience in customer-facing roles such as pre-sales consulting or similar
- Fluent English (written and spoken) required

- Experience in adjacent technology domains such as database systems big data and analytics
- AWS certifications strongly preferred (e.g. Solutions Architect Machine Learning Engineer Data Engineer)
- Experience working with large enterprises in the Automotive and Manufacturing industries
- Strong preference for experience in technical pre-sales or customer-facing architecture roles
- German language skills

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