ABOUT JAGGAER
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
JAGGAER is an AI-powered procure to pay and source to pay software solutions platform for manufacturing, public sector and higher education.
We are seeking a highly motivated Principal Engineer, Agentic AI to lead the design and technical direction of enterprise-scale, AI-powered applications, with deep expertise across backend and frontend development and a strong foundation in Artificial Intelligence (AI) and Generative AI technologies.
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
The ideal candidate will architect and drive the technical strategy for scalable enterprise applications, set engineering best practices, mentor senior and staff engineers, and lead the evolution of next-generation intelligent procurement experiences leveraging Large Language Models (LLMs), Agentic AI frameworks, and modern cloud technologies.
Principal Responsibilities
- Agentic AI Architecture & Strategy:
- Own the end-to-end technical architecture and strategy for JAGGAER's Agentic AI platform, from agent design patterns to production deployment.
- Define the technical roadmap for autonomous and multi-agent systems, aligning architecture decisions with product and business strategy.
- Set architecture standards for agent orchestration, tool/function calling,
📌 Principal Developer, Agentic AI (Hyderabad)
🏢 JAGGAER
📍 Hyderabad
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