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Lead applied AI solution design and architecture, breaking down ambiguous business problems into
Contribute to the detailed design of large-scale, distributed AI/ML systems, ensuring performance
Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use
Champion and enforce design standards, patterns, and best practices for scalable and secure
Drive the hands-on development and implementation of key AI components, supporting both traditional
Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model

10+ years of core Software/Systems Engineering architecture experience, including 4+ years
Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s/Ph.D. is a plus).
Direct hands-on experience with Generative AI technologies, including LLMs, Retrieval-Augmented
Strong programming skills in Python, Java, or Go. Deep proficiency with GenAI orchestration
Extensive hands-on experience with the modern AI data ecosystem, including Vector Databases (e.g.
Experience with distributed systems architecture, event-driven streaming platforms, and cloud AI/ML

AI Architect

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