Job Summary

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.

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.

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

- 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.
- Robust 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.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

📌 Principal Developer, Agentic AI (Hyderabad)
🏢 JAGGAER
📍 Hyderabad