ML Solutions Architect

Job Summary

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