To support a growing AI practice, the full-time AWS Licensed AI Solutions Architect will lead technical discovery sessions, design scalable ML architectures, and serve as the primary technical point of contact for clients in a remote environment. Key Responsibilities Lead technical discovery sessions and design end-to-end ML architectures for prospective clients Architect agentic AI solutions and develop reference architectures for common agentic patterns Manage technical stakeholder expectations and build long-term trusted advisor relationships with clients Required Qualifications 6-8+ years of experience in ML or data science roles with a proven track record in client-facing technical positions Deep understanding of the full ML lifecycle and experience designing scalable, production-grade ML architectures Strong experience with agentic systems and proficiency in agent design patterns and orchestration frameworks Advanced knowledge of AWS ML and data services, including SageMaker and Bedrock Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent experience
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