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 : As a Principal Data Scientist, you will architect and operationalize the data pipelines, ML models, and LLM-powered agents that turn JAGGAER’s vast structured and unstructured data—spanning more than $500 billion in customer spend—into real-time, actionable insights for our customers, setting technical direction for how the Data & AI team tackles its hardest, most ambiguous problems.

Our Chief Data & AI Office (CDAO) owns the company’s data foundation and AI innovation agenda, powering recent 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.” - Location :Hyderabad, India (In-Office)

Employment Type : Full-Time

Level : Principal

Reports To : VP of Architecture & Innovation, under the Chief Data & AI Officer (CDAO)

Department : Data & AI Office

Principal Responsibilities: ROLE RESPONSIBILITIES :

- Data & Feature Engineering - Build scalable ingestion, ETL/ELT, and feature-store pipelines across OpenSearch, Snowflake, Redshift, and Redis.
- Design semantic layers and vector indexes (Pinecone, QDrant, OpenSearch) that power retrieval-augmented generation (RAG) and Agentic AI workflows.
- Model Development & Experimentation - Prototype, train, and evaluate predictive, prescriptive,



and generative models in Amazon SageMaker (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.
- Leverage Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex LLM functions) to deliver governed, in-warehouse inference and retrieval alongside external ML/LLM services.
- Own cost and performance optimization for ML/LLM inference and pipelines at scale, balancing latency, throughput, and cloud spend.
- Package models and agents into reusable micro-services with Terraform / Docker / Kubernetes.
- Serve as a technical authority for ML/LLM architecture decisions across the CDAO organization, establishing best practices and standards adopted by the broader Data & AI team.
- Mentor and coach data scientists and engineers across the Data & AI team, leading design reviews and fostering adoption of best practices.
- Agentic Platform Integration - Orchestrate multi-agent task flows using Jaggaer’s AgentOS to 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

Position Requirements: Minimum Qualifications :

- Bachelor’s or Master’s in Computer Science, Statistics, Math, Data Science, or related field.

- 15+ years designing and deploying production-grade ML or data engineering solutions, including a track record of owning ambiguous, org-wide technical initiatives.

- Proficiency in Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL.

- Hands-on work with at least two of the following platforms: OpenSearch, Snowflake (including Cortex AI functions), Redshift, Redis, Pinecone, SageMaker.

- Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.

- Experience implementing data governance, access controls, and security best practices for sensitive enterprise and financial data.

- 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.

- Demonstrated ability to independently drive technical direction and influence decisions across multiple teams without formal authority. - Preferred Qualifications :

- Prior exposure to LLM fine-tuning, prompt engineering, or RAG pipelines.

- Hands-on experience with Snowflake, including Cortex AI functions, for in-platform ML/LLM workloads.

- 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 hackatho

📌 Principal Data Scientist (Hyderabad)
🏢 JAGGAER
📍 Hyderabad