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Principal Developer, Agentic AI

JAGGAER

Greater Hyderabad Area

Overview

ABOUT JAGGAER

Jaggaer is a global provider of AI-powered procurement software for complex sourcing, supply and spend. More than 1,400 global enterprises across manufacturing, public sector, higher education and other industries use our platform to manage sourcing, contracts, invoicing, payments and supplier relationships in one place.

Jaggaer One connects Source-to-Contract, Procure-to-Pay and Supplier Intelligence, with embedded AI (JAI) that helps teams move faster, stay compliant and make better decisions. Our platform supports a supplier community of more than 13 million and manages $2.9 trillion in annual spend.

Behind the technology is a global team guided by our TEAM values: Transparency, Entrepreneurial Spirit, Accountability and Metrics-Driven Results. For more information, visit www.jaggaer.com .

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, and inter-agent communication across the platform.
Define and govern integration standards, including MCP (Model Context Protocol) and RESTful APIs, for connecting agents to internal and external enterprise systems.
Architect scalable vector search and retrieval infrastructure to support Retrieval-Augmented Generation (RAG) across the platform.
AI & Agentic Systems:
Architect and champion AI-powered applications leveraging Large Language Models (LLMs) and Generative AI technologies across the platform.
Define the technical strategy for intelligent workflows using Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
Design and guide the implementation of Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources.
Set best practices for prompt design, structured outputs, tool/function calling workflows, and AI orchestration pipelines.
Lead the development of AI copilots, research assistants, recommendation engines, chatbots, workflow automation, and NLP-driven capabilities.
Drive the design of multi-agent systems, agent orchestration, and autonomous workflow execution across the organization.
Platform Integration & Analytics:
Partner with upstream and downstream application teams and stakeholders to embed agentic AI capabilities across the platform's architecture, integration patterns, and data flow.
Lead the integration of agentic AI and LLM-powered capabilities into the JAGGAER Analytics platform and related reporting experiences.
Define the technical strategy for surfacing AI-generated insights through the Tableau Reporting Platform and other reporting services.
Engineering Excellence & Leadership:
Establish observability, evaluation, and performance monitoring standards to continuously improve AI system quality.
Champion AI system performance, scalability, reliability, and security as core architectural tenets, including guardrails for safe and responsible agent behavior.
Elevate engineering standards through rigorous architecture reviews, testing practices, and mentorship of engineers at all levels.
Serve as a key technical voice across globally distributed Product Management, Engineering, Professional Services, and Customer Success teams, influencing roadmap and strategy.

Position Requirements

10+ years of experience in software development with deep expertise in Java and/or Python, including significant experience in technical leadership or architect roles.
Proven track record architecting and delivering enterprise applications using Spring Boot, REST APIs, and Microservices architecture at scale.
Strong experience building and guiding frontend applications using React.js and modern JavaScript frameworks.
Deep understanding of software engineering principles, object-oriented design, data structures, algorithms, and enterprise architecture patterns.
Extensive experience with Oracle and PostgreSQL databases, including advanced SQL, schema design, and performance optimization at scale.
Demonstrated expertise in API integrations, enterprise system connectivity, and distributed application architectures.
Hands-on experience with Generative AI concepts and a track record of integrating LLM-powered capabilities into production applications.
Strong working knowledge of Agentic AI concepts, AI orchestration, prompt engineering, tool calling, and structured outputs.
Demonstrated ability to mentor engineers, lead technical initiatives, and influence architectural decisions across teams.
Excellent problem-solving, analytical, and debugging skills, with sound judgment on technical trade-offs.
Ability to communicate clearly and persuasively in English, both verbally and in writing, including to technical and non-technical stakeholders.
Bachelor’s degree in Computer Science, Engineering, or equivalent; advanced degree a plus.

Nice-to-Haves

Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar Agentic AI frameworks.
Experience building AI-powered applications using Large Language Models (LLMs).
Experience implementing Retrieval-Augmented Generation (RAG) systems.
Familiarity with vector databases such as Pinecone, ChromaDB, Weaviate, or similar technologies.
Knowledge of multi-agent systems, workflow automation, and AI evaluation techniques.
Experience with MCP (Model Context Protocol) integrations.
Experience building AI copilots, autonomous agents, deep research assistants, chatbots, workflow automation systems, or AI-powered SaaS products.
Familiarity with AI observability, monitoring, and evaluation platforms.
Knowledge of AWS cloud services, DevOps practices, CI/CD pipelines, Docker, and Kubernetes.
Experience working with Snowflake and modern data platforms.
Knowledge of SonarQube and application quality management practices.
Familiarity with Data Source Manager (DSM) concepts, configuration, and integration within analytics and reporting ecosystems.
Exposure to procurement, analytics, reporting, business intelligence, or enterprise SaaS platforms.
Experience leading architecture reviews, technical design documents (RFCs), or engineering guilds.

Contributions to open-source projects, technical publications, or conference presentations in AI/ML or software engineering.

What We Offer

At JAGGAER, we are committed to supporting you and your family’s well-being. Your health is a priority, and we offer a range of programs to help you stay well and thrive. Our benefits include Health, Accidental Insurance, and Term Life.

Why JAGGAER?:

Shape the technical direction of an AI-native procurement platform used by organizations managing complex, global supply chains.

Work at the frontier of Agentic AI, LLMs, and enterprise-scale software architecture.

Collaborate with world-class engineering, product, and AI talent in a fast-paced, impact-driven culture.

Enjoy flexibility, purpose-driven work, and competitive compensation.

Our Values - T.E.A.M

At JAGGAER, our business is about people. Our products are built on intellectual property, but the real differentiator is the teams behind them – the way we collaborate, innovate, solve problems and deliver for customers. TEAM gives us a common set of expectations for how we work together across products, cultures, and geographies.

Transparency - Openness Builds Trust: Candor strengthens relationships, speeds decision-making, and ensures problems are solved together—with customers, teammates, and partners.
Entrepreneurial Spirit – Own It, Drive It, Make It: A scrappy, customer obsessed, problem-solving mindset is at the cornerstone of both organizational and personal growth
Accountability – Thumbs In, Not Fingers Out: We take responsibility ourselves before pointing elsewhere
Metrics-Driven Results – Outcomes Over Activities: Data and evidence guide our decisions, help us course-correct quickly, and ensure we’re delivering real impact.

Eeo

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military, or veteran status, mental or physical disability, or other applicable legally protected characteristics.

Great Place to Work® Certified 2026 – JAGGAER

Join a workplace where innovation, collaboration, and people come first.

We are proud to announce that JAGGAER has been certified as a Great Place to Work® for 2026, recognizing our commitment to creating an inclusive, empowering, and high-performing culture.

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