Hands-on principal product management role to translate ambiguous problems into AI product requirements, lead 0→1 discovery and scaled releases, partner with engineering/UX/SMEs, and own AI product quality (evaluation, monitoring, reliability) with a minimum of 6 years' product management experience and 2+ years direct AI experience.

Principal-level individual contributor leading the Commercial AI Center of Excellence technical direction for AIaaS. Hands-on across the full AI lifecycle — model training/fine-tuning (including QLoRA/LoRA/PEFT), LLM orchestration, retrieval/RAG, data/feature pipelines, observability, and responsible-AI — with a focus on cloud-native (Azure preferred) production systems and cross-team architectural leadership. Requires 15+ years delivering production AI at enterprise scale.

The Principal AI Engineer provides technical leadership and hands-on execution for enterprise AI systems: designing and fine-tuning LLMs (QLoRA/LoRA/PEFT), building orchestration and MCP servers, optimizing retrieval/RAG and data pipelines, establishing experiment tracking, versioning and observability, and operationalizing models into production. Requires 12+ years of relevant AI/ML engineering experience.