Top AI & Machine Learning Jobs

Lead and evolve Coupa's LLM/GenAI platform: define architecture and strategy, build MLOps pipelines, manage deployment/lifecycle of LLMs and embeddings, implement IaC and multi-cloud infrastructure, mentor platform engineers, ensure reliability, observability, and enterprise-grade scalability/security.

Lead the development and governance of AI systems at Coupa, driving excellence in model performance and MLOps while mentoring a team of data scientists and ML engineers.

Design, deploy, and operate scalable data pipelines and cloud infrastructure for ML/GenAI, manage day-2 LLM serving platforms, automate IaC and platform maintenance, ensure observability and reliability, and support production ETL and incident response.

The Principal Engineer, AI/ML Architecture will define the technical direction for Coupa's AI platform, focusing on model training, evaluation, safety standards, and mentoring a team of ML and data engineers.

Lead strategy and delivery for Coupa's AI platform, expanding model training, serving, and data infrastructure. Build and manage distributed ML, data engineering, and platform teams across the US and India, manage vendor partnerships and budgets, ensure data safety and responsible AI, and present results to executive stakeholders.

Lead the design, implementation, and operation of enterprise-scale LLM/GenAI platforms. Drive architecture, CI/CD, IaC, multi-cloud deployments, model lifecycle, observability, and mentor platform DevOps engineers while collaborating across platform, AI/ML, and QA teams.

Prepare and curate enterprise knowledge repositories for AI agents: clean, deduplicate, and reformat unstructured content for RAG; enforce metadata, taxonomy, and governance standards; archive outdated content; report and remediate data rot; and align local content practices with enterprise Data, AI & Analytics to prevent hallucinations and ensure accurate AI-driven decision support.

As a Sr. Lead AI Engineer, you will develop the agent harness for supplier agents, focusing on platform design and cloud infrastructure deployment while collaborating with product and engineering teams.

Lead end-to-end LLM fine-tuning and training pipelines (data prep, training, evaluation, registry). Optimize PEFT methods (QLoRA, LoRA, PEFT), build evaluation harnesses and benchmarks, run experiment tracking and HPO, collaborate on training data strategy, improve model serving and inference, and mentor ML engineers.

As a Lead AI Engineer, you will build an AI harness for supplier agents, manage context, design sub-agent patterns, and debug production behaviors, collaborating with a senior engineer on architecture.