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The Applied AI Researcher will explore new AI system architectures, develop prototypes, analyze data, and redefine human-AI collaboration for enterprise applications.

The Applied AI Researcher will design complex AI systems, integrate diverse components, and innovate in the utilization of AI for enterprise workflows. They will also conduct research on system interactions and workflows while building prototypes and demonstrating AI capabilities.

Researcher will adapt foundation models for real-world applications, focusing on performance, alignment, and human-centric objectives to optimize AI systems for enterprises.

The Applied AI Researcher will design benchmark frameworks, conduct statistical evaluations, and leverage AI to redefine enterprise software usage and measure intelligent system performance.

The Applied AI Researcher will design self-improving systems that evaluate and enhance performance through feedback and self-modeling. The role demands a creative approach to redefine software usage, focusing on continuous learning and improvement using advanced AI techniques.

Design, deploy, and operate production AI systems for enterprise customers. Build compound workflows combining models, agents, retrieval, and evaluation. Measure and iterate on live systems, integrate with customer data and APIs, and collaborate with stakeholders to ensure reliability and business impact.

Build user-facing applications and workflows on top of AI systems; design interfaces for knowledge capture, feedback, and evaluation; work full‑stack (frontend, backend, data); partner with strategists and customers to iterate products that improve AI behavior over time.

Design, build, and operate end-to-end AI systems in enterprise environments. Own architecture, integrations, security, observability, and operational patterns; deliver reference implementations and resolve high-impact production issues while partnering closely with customer engineering and security teams.

As an AI Platform Engineer, design and optimize the AI-native platform, develop scalable infrastructure, and collaborate with teams to solve complex AI deployment challenges.

As an AI Strategist, you'll lead customer projects, embedding in workflows to identify AI opportunities, ensuring delivery quality, user adoption, and customer trust.