Principal Engineer, AI/ML Architecture - 11310
AI summary of the role
Principal Engineer defining the technical architecture for Coupa's AI platform, covering model training, evaluation, and serving for production agents, conversational AI, and ML models.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Define architecture for model training, evaluation, and serving across Coupa's AI platform.
- Evaluate and select model approaches (open-weight, commercial, hybrid) against enterprise accuracy and cost.
- Design evaluation frameworks for model quality on Coupa-specific task categories.
- Architect training data pipelines including synthetic data generation and quality validation.
What you’ll bring
- 15+ years software engineering, 5+ years ML/AI systems.
- Must have shipped a fine-tuned or domain-adapted LLM to production.
- Deep knowledge of transformer architectures, training optimization (LoRA, QLoRA, PEFT, RLHF, DPO), and inference serving.
- Experience with distributed training on GPU clusters.
Technologies
LLM · fine-tuning · LoRA · QLoRA · PEFT · RLHF · DPO · RAG · PyTorch · GPU clusters · vector search · knowledge graph
About Coupa Software
Cloud business spend management platform unifying procurement, AP/invoicing, payments, and supply chain for large enterprises, now centered on autonomous AI agents.
Acquired · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Principal Engineer, AI/ML Architecture at Coupa: Coupa's AI platform powers production agents, conversational AI (Navi), customer-built agents (Agent Studio), and a suite of ML models for classification, fraud detection, and supplier intelligence. The Principal Engineer, AI/ML Architecture will define the technical direction for the next generation of these capabilities, designing how we train, evaluate, and serve models that are deeply tuned to enterprise spend management. Reporting to the Sr. Director, you will be hands-on in architecture and prototyping while guiding a growing team of ML and data engineers. What You'll Do: Define the architecture for model training, evaluation, and serving across Coupa's AI platform. Evaluate and select model
More from the job description
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins. Why join Coupa? 🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. 🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. 🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other. Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa. The Impact of a Principal Engineer, AI/ML Architecture at Coupa: Coupa's AI platform powers production agents, conversational AI (Navi), customer-built agents (Agent Studio), and a suite of ML models for classification, fraud detection, and supplier intelligence. The Principal Engineer, AI/ML Architecture will define the technical direction for the next generation of these capabili [... source excerpt omitted ...] ed to enterprise spend management. Reporting to the Sr. Director, you will be hands-on in architecture and prototyping while guiding a growing team of ML and data engineers. What You'll Do: Define the architecture for model training, evaluation, and serving across Coupa's AI platform. Evaluate and select model approaches (open-weight, commercial, and hybrid) against enterprise accuracy and cost requirements. Design evaluation frameworks that measure model quality on Coupa's specific task categories. Drive technical partnership evaluations with AI infrastructure and model providers. Architect training data pipelines, including synthetic data generation and quality validati [... source excerpt omitted ...] es, especially in the early phases. Mentor and guide ML and data engineers across US and India. Collaborate with product, existing AI platform, and cloud operations teams. What You Will Bring to Coupa: 15+ years of software engineering experience, with 5+ years focused on ML/AI systems. Demonstrated experience training or fine-tuning large language models. Must have shipped a fine-tuned or domain-adapted model to production. Deep knowledge of transformer architectures, training optimization (LoRA, QLoRA, PEFT, RLHF, DPO), and inference serving. Experience with distributed training on GPU clusters. Strong understanding of RAG architectures, vector search, embedding models,
Employer postings · Data from · Sources