Amazon - GTM Specialist Solutions Architect (GenAI/ML)
Are you a passionate and experienced Solutions Architect with deep expertise in Generative AI and Machine Learning? Do you thrive on helping customers innovate and transform their businesses using cutting-edge AI technologies on AWS? Amazon Web Services (AWS) is seeking a GTM Specialist Solutions Architect, GenAI/ML, to join our team in Israel (part of EMEA Data and AI Solutions Architecture). In this role, you will be a technical leader and strategic advisor, working closely with customers, sales, and product teams to drive the adoption of AWS Generative AI and Machine Learning services. You will help customers understand the art of the possible with GenAI/ML, design solutions, and accelerate their journey.
**Key Responsibilities:**
* Act as a trusted technical advisor for strategic customers on Generative AI and Machine Learning.
* Design and build innovative GenAI/ML solutions on AWS, including proof-of-concepts (POCs) and prototypes.
* Conduct technical deep-dives, workshops, and architectural reviews for customers.
* Collaborate with sales, product, and engineering teams to identify new opportunities and influence product roadmap.
* Develop and deliver technical content, including presentations, blogs, and reference architectures.
* Stay current with the latest advancements in Generative AI, Machine Learning, and AWS services.
* Provide thought leadership and guidance on GenAI/ML best practices and use cases.
* Participate in go-to-market (GTM) activities, including speaking at events and supporting strategic initiatives.
**Basic Qualifications:**
* 7+ years of design, implementation, or consulting experience in applications or systems architecture.
* 3+ years of experience in customer-facing roles, providing technical solutions to complex business problems.
* Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
* Strong understanding of Machine Learning fundamentals and experience with GenAI concepts/frameworks.
* Experience with at least one programming language (e.g., Python, Java, Go).
* Proven experience with AWS services, particularly AI/ML services (e.g., SageMaker, Lambda, EC2).
* Excellent communication, presentation, and whiteboarding skills.
* Fluency in English and Hebrew.
**Preferred Qualifications:**
* Master’s or Ph.D. in a relevant technical field.
* Experience with large language models (LLMs) and their applications.
* Prior experience as a Solutions Architect or a similar pre-sales technical role.
* Experience with MLOps practices and deploying ML models to production.
* AWS Certifications (e.g., AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty).