Architect, Data Scientist, Data & AI Team; North America Remote

Overview

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

We are seeking an Architect Data Scientist for the Data & AI team. You will design, build, and operationalize the data pipelines, ML models, and LLM powered agents that turn JAGGAER’s vast structured and unstructured data into real time, actionable insights for our customers.

Our Chief Digital & AI Office (CDAO) owns the company’s data foundation and AI innovation agenda, powering new Agentic AI experiences across our Source to Pay platform. Working inside a multidisciplinary Data & AI team within the CDAO organization, you will partner with product, engineering, and customer success to ship data-driven features that eliminate friction from every buy, every contract, every supplier touchpoint.

Role Responsibilities:

• Data & Feature Engineering
  • Build scalable ingestion, ETL/ELT, and feature store pipelines across Open Search, Snowflake, Redshift, and Redis.
  • Design semantic layers and vector indexes (Pinecone, Open Search) that power retrieval augmented generation (RAG) and Agentic AI workflows.
• Model Development & Experimentation
  • Prototype, train, and evaluate predictive, prescriptive, and generative models in Amazon Sage Maker (plus open source frameworks).
  • Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.
• ML / LLM Ops
  • Own CI/CD, monitoring, drift detection, and scalable inference for classical ML and LLM pipelines.
  • Package models and agents into reusable micro services with Terraform / Docker / Kubernetes.
• Agentic Platform Integration
  • Orchestrate multi-agent task flows (Lang Graph, CrewAI, or equivalent) that call JAGGAER and third-party APIs.
  • Collaborate with front-end teams to embed real-time analytics and AI insights into customer-facing apps.
• Insight Generation & Storytelling
  • Diagnose customer data issues; deliver visual analyses (Tableau, Superset, Streamlit, or R/Python) for executives and non-technical stakeholders.
  • Champion data-driven decision making across Product, Services, and Go to Market teams.

Minimum Qualifications:

• Bachelor’s or Master’s in Computer Science, Statistics, Math, Data Science, or related field.
• 10+ years designing and deploying production-grade ML or data engineering solutions.
• Proficiency in Python (Pandas, PySpark, scikit learn, Tensor Flow/PyTorch) and SQL.
• Hands-on work with at least two of the following platforms:
  Open Search, Snowflake, Redshift, Redis, Pinecone, Sage Maker.
• Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
• Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).
• Clear, concise communicator able to present complex analyses to senior leadership.
• Preferred Qualifications:
• Prior exposure to LLM fine tuning, prompt engineering, or RAG pipelines.
• Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or GCP.
• Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.
• Familiarity with Agentic AI frameworks (Lang Chain Agents, CrewAI, Haystack, etc.).
• Track record of hackathon wins, open-source contributions, or published research.

• Work directly with the CDAO’s innovation team to shape the future of enterprise AI. Your models and agents will be embedded directly into a platform that manages >$500 billion in spend.
• Influence platform direction from early-stage R&D.
• Collaborate with world-class talent in a fast-paced, impact-driven culture.
• Enjoy flexibility, purpose-driven work, and competitive compensation.

At JAGGAER, we are committed to supporting you and your…