Vice President, AI Platform Application Engineer

What you'll do

• Design scalable AI architecture using LLMs, RAG, fine-tuning, and optimization.
• Establish frameworks to measure model quality, control hallucinations, and manage precision/recall trade-offs.
• Lead implementation of AI platform capabilities across the software development lifecycle.
• Evaluate third-party solutions against internal capabilities for buy vs. build decisions.
• Identify technical risks early and implement mitigation strategies proactively.
• Translate complex AI capabilities into clear business value and communicate to senior stakeholders.
• Develop and mentor a team of engineers, fostering ownership and continuous improvement.

What we're looking for

• Extensive experience building and operating production AI systems, including LLM-based workflows.
• Deep technical expertise in Java and Python for developing scalable, production-grade AI services.
• Proven track record of designing and delivering large-scale shared platforms or services.
• Solid understanding of modern AI practices like prompt engineering, RAG, fine-tuning, and evaluation.
• Strong experience working with distributed cloud environments and designing APIs for cloud operations.
• Excellent communication skills to collaborate effectively across teams and manage complex projects.
• Prior people-management experience leading small to mid-sized engineering teams.