JAGGAER

Architect, Data Scientist, Data & AI

JAGGAER

full-time

Posted on:

Location Type: Remote

Location: Remote • North Carolina • 🇺🇸 United States

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Job Level

SeniorLead

Tech Stack

AirflowAmazon RedshiftAWSAzureCloudDockerERPETLGoogle Cloud PlatformIoTKubernetesLinuxMicroservicesOpen SourcePandasPySparkPythonPyTorchRedisScikit-LearnSQLTableauTensorflowTerraform

About the role

  • 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 RAG and Agentic AI workflows
  • Prototype, train, and evaluate predictive, prescriptive, and generative models in SageMaker and open-source frameworks
  • Implement experimentation pipelines (A/B, champion/challenger) and convert insights into platform features
  • Own CI/CD, monitoring, drift detection, and scalable inference for ML and LLM pipelines
  • Package models into reusable microservices with Terraform, Docker, and Kubernetes
  • Orchestrate multi-agent workflows (LangGraph, CrewAI) integrating with JAGGAER and third-party APIs
  • Partner with product and frontend teams to embed AI-driven insights into customer-facing applications
  • Deliver executive-level insights and storytelling via Tableau, Superset, Streamlit, or R/Python
  • Work inside the Chief Data & AI Office to influence next-generation Agentic AI architecture across the Source-to-Pay platform

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 (brief senior leadership and board-level stakeholders)
  • Preferred: hands-on LLM fine-tuning, RAG pipelines, advanced prompt engineering
  • Preferred: Cloud deployment (AWS Bedrock, ECS/EKS, Azure, or GCP)
  • Preferred: Familiarity with procurement, supply chain, ERP, or IoT sensor data
  • Preferred: Contributions to open source, publications, or notable hackathon wins
Benefits
  • exceptional medical, dental & vision plans
  • adoption assistance
  • wellness reimbursements
  • generous parental leave
  • 401(k) matching
  • flexible work options
  • unlimited vacation for exempt employees
  • competitive compensation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLETLELTstatistical modelingsupervised MLunsupervised MLA/B testingmicroservicesLLM fine-tuning
Soft skills
executive communicationstorytellingcollaborationinfluencing
Certifications
Bachelor’s in Computer ScienceMaster’s in Computer ScienceBachelor’s in StatisticsMaster’s in StatisticsBachelor’s in MathMaster’s in MathBachelor’s in Data ScienceMaster’s in Data Science