Architect, Data Scientist, Data & AI Team (North America Remote)

Jaggaer • NC

96d

About The Position

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries. Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. For more information, visit www.jaggaer.com. This Architect-level position for a proven technical leader ready to shape enterprise-grade AI at scale. You will design, build, and operationalize the data pipelines, ML models, and LLM-powered agents that transform JAGGAER’s vast structured and unstructured data into real-time, actionable intelligence for global customers. As part of the Chief Data & AI Office (CDAO), you’ll work inside a multidisciplinary team that owns the company’s data foundation and innovation agenda. Your work will directly influence the architecture of next-generation Agentic AI experiences across our $500B+ Source-to-Pay platform. If you are looking to “get more hands-on experience” or “break into AI,” this is not the right role. If you already architect systems, set technical direction, and thrive in high-visibility, enterprise environments, keep reading.

Requirements

• Bachelor’s or Master’s in Computer Science, Statistics, Math, or Data Science.
• 10+ years designing and deploying production-grade ML or data engineering solutions.
• Proven mastery of Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL.
• Deep experience with at least two enterprise platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker.
• Strong grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
• Fluency with Linux, Git, CI/CD, Docker, and orchestration frameworks (Airflow, Prefect, Kubeflow, or Dagster).
• Executive communication skills—you can brief senior leadership and board-level stakeholders.

Nice To Haves

• Hands-on with LLM fine-tuning, RAG pipelines, or advanced prompt engineering.
• Cloud deployment experience (AWS Bedrock, ECS/EKS, Azure, or GCP).
• Familiarity with procurement, supply chain, ERP, or IoT sensor data.
• Contributions to open source, publications, or notable hackathon wins.

Responsibilities

• Architect and optimize scalable ingestion, ETL/ELT, and featurestore pipelines across OpenSearch, Snowflake, Redshift, and Redis.
• Design semantic layers and vector indexes (Pinecone, OpenSearch) to power Retrieval-Augmented Generation (RAG) and Agentic AI workflows.
• Prototype, train, and evaluate predictive, prescriptive, and generative models in SageMaker and open-source frameworks.
• Implement rigorous experimentation pipelines (A/B, champion/challenger testing) and convert insights into platform features.
• Own CI/CD, monitoring, drift detection, and scalable inference for both classical ML and LLM pipelines.
• Package models into reusable microservices with Terraform, Docker, and Kubernetes.
• Orchestrate multi-agent workflows (LangGraph, CrewAI, etc.) that integrate with JAGGAER and third-party APIs.
• Partner with product and frontend teams to embed AI-driven insights into customer-facing applications.
• Diagnose complex customer data challenges and deliver insights via Tableau, Superset, Streamlit, or R/Python.
• Influence executives and non-technical stakeholders with clear, compelling narratives rooted in data.

Benefits

• Exceptional medical, dental & vision plans.
• Adoption assistance.
• Wellness reimbursements.
• Generous parental leave.
• 401(k) matching.
• Flexible work options.
• Unlimited vacation for exempt employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees