ML Solutions Architect

As a full-time remote ML Solutions Architect, the successful candidate will lead pre-sales technical discussions, design scalable ML architectures to address client business challenges, and serve as the primary technical liaison throughout project lifecycles. Key responsibilities Lead technical discovery sessions and design end-to-end ML architectures tailored to client needs Manage client relationships and expectations while ensuring satisfaction and successful project delivery Architect agentic AI solutions that leverage advanced decision-making capabilities and tool orchestration Required qualifications Advanced knowledge of AWS ML and data services, including SageMaker and Bedrock Deep understanding of the full ML lifecycle, from data processing to deployment Experience with agentic engineering and AI-assisted development tools Proven ability to design scalable, production-grade ML architectures Hands-on experience with agent frameworks and multi-agent orchestration patterns

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