Overview ABOUT JAGGAER JAGGAER is the global leader in autonomous commerce Our AI-first Source-to-Pay platform empowers procurement and supply chain leaders to drive innovation resilience and enterprise-wide value We are building the future of intelligent procurement and you can be part of that transformation WHAT WE ARE LOOKING FOR 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 current 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 Principal Responsibilities Data Feature Engineering o Build scalable ingestion ETL ELT and feature store pipelines across OpenSearch Snowflake Redshift and Redis o Design semantic layers and vector indexes Pinecone OpenSearch that power retrieval augmented generation RAG and Agentic AI workflows Model Development Experimentation o Prototype train and evaluate predictive prescriptive and generative models in Amazon SageMaker plus open source frameworks o Implement automated A B tests and champion challenger experiments translate findings into product requirements ML LLM Ops o Own CI CD monitoring drift detection and scalable inference for classical ML and LLM pipelines o Package models and agents into reusable micro services with Terraform Docker Kubernetes Agentic Platform Integration o Orchestrate multi agent task flows LangGraph CrewAI or equivalent that call JAGGAER and third party APIs o Collaborate with front end teams to embed real time analytics and AI insights into customer facing apps Insight Generation Storytelling o Diagnose customer data issues deliver visual analyses Tableau Superset Streamlit or R Python for executives and non technical stakeholders o Champion data driven decision making across Product Services and Go to Market teams Position Requirements 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 TensorFlow PyTorch and SQL Hands on work with at least two of the following platforms OpenSearch Snowflake Redshift Redis Pinecone SageMaker 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 LangChain Agents CrewAI Haystack etc Track record of hackathon wins open-source contributions or published research Why JAGGAER 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 LI-SN1