Principle GTM SSA AI Solutions Architect
6 days ago
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.
About the RoleWe are seeking a highly skilled Cloud Solutions Architect to join our EMEA Go-To-Market (GTM) team. As a key member of our team, you will be responsible for guiding customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production.
Job DescriptionThis role involves collaborating with AWS product teams to influence product roadmap and vision, accelerating the adoption of ML across customers in the region. You will engage with senior ML Engineers and Data Scientists at customers, partners, and AWS service teams to develop technical assets that can be used by AWS teams, partners, and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads.
Responsibilities- Develop technical assets such as reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement materials, and other resources to help customers leverage AWS services.
- Engage with AWS product teams to influence product roadmap and vision, accelerating the adoption of ML across customers in the region.
- Collaborate with GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.
To be successful in this role, you will need:
- Multiple years of experience in designing, implementing, and consulting on distributed applications.
- Multiple years of management experience of technical, customer-facing resources.
- Multiple years of hands-on experience with AI/ML or related technology domains.
- A strong understanding of Python programming language and its application in data analysis, model training, deployment, and optimization.
The ideal candidate will have a history of successful technical consulting and architecture engagements with large-scale customers or enterprises, familiarity with common enterprise services, and working knowledge of software development tools and methodologies.
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