Senior AI Architect for GenAI/ML Solutions

Amazon Inc.; Singapore; Vor Ort; SGD 180.000 - 260.000; Vollzeit

Zusammenfassung

Amazon AWS is seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers design and run scalable GenAI/ML and Agentic workloads on AWS.

You will lead technical engagements, influence roadmaps, mentor teams, and deliver reference architectures, workshops, and best practices across industries. This role focuses on turning AI ambition into production-ready solutions while balancing security, cost, and performance.

Qualifikationen

• 7+ years of design, implementation, or consulting in applications and infrastructures
• 5+ years of management of technical, enterprise customer facing resources or equivalent
• 5+ years of design/implementation of production AI systems

Aufgaben

• Build technical relationships with customers and act as trusted advisor for GenAI/ML and Agentic workloads on AWS
• Manage the overall technical relationship, advising on security, cost, performance, reliability and operational efficiency to accelerate GenAI/ML projects
• Be the voice of the customer, sharing needs regarding AWS GenAI/ML/Agentic features
• Define cloud-native GenAI/ML patterns for multiple use cases
• Create and share best practices, architectures, white papers, code samples, blogs, and educate customers and partners
• Provide technical leadership and mentorship through hands-on deep dives and workshops

Kenntnisse

Leadership

Communication

Project leadership

AI/ML system design

RAG/GenAI

Ausbildung

Master's degree in CS/Math/ML or related field

PhD in a quantitative field

Cloud Certification

Tools

Bedrock

AgentCore

SageMaker

Retrieval-Augmented Generation

Jobbeschreibung

Amazon AWS is seeking a hands-on AI Specialist Solutions Architect (SSA) to help customers design and run scalable GenAI/ML and Agentic workloads on AWS.

You will lead technical engagements, influence roadmaps, mentor teams, and deliver reference architectures, workshops, and best practices across industries. This role focuses on turning AI ambition into production-ready solutions while balancing security, cost, and performance.