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Principal Software Architect

2 weeks ago

Bengaluru, Karnataka, India Opentext Full time US$ 1,50,000 - US$ 2,00,000 per year

The Opportunity

As Principal Software Architect - AI Applications, you will serve as the hands-on technical leader driving the design and development of our AI foundation components and GenAI-enabled services. This is a high-impact role for a pragmatic architect who thrives in code, partners closely with developers, and knows how to balance rapid innovation with robust engineering.

You will help define and build reusable architectures and components for GenAI applications, including capabilities such as RAG pipelines, tool-augmented agents, multi-agent orchestration, and model integration patterns. You will work with Java, Python, and TypeScript-based systems and leverage modern frameworks such as LangChain, LangGraph, and CrewAI to build portable, flexible, and scalable AI workflows.

This role will directly support the engineering of shared services, SDKs, and toolkits that accelerate AI development across the enterprise

You Are Great At:

  • Designing and building scalable, maintainable architectures for GenAI-based applications.
  • Leading development teams through hands-on examples, prototypes, and mentoring.
  • Applying frameworks such as LangChain, LangGraph, or CrewAI to implement agent workflows and orchestration logic.
  • Architecting RAG-based solutions including embedding pipelines, vector store integrations, and hybrid retrieval mechanisms.
  • Writing clean, production-ready code in Java, Python, and TypeScript or browser).
  • Translating solution requirements into modular, testable designs.
  • Evaluating new AI frameworks and libraries and making technology recommendations for enterprise adoption.
  • Collaborating with product managers, architects, and engineers to drive delivery and alignment across teams.\

What It Takes:

  • 10+ years of experience in software architecture and engineering, including significant hands-on development.
  • Deep experience in at least two of the following: Java (Spring Boot or equivalent), Python (FastAPI, LangChain), TypeScript or frontend frameworks).
  • Familiarity with modern GenAI development patterns, including LLM orchestration, prompt chaining, and tool-use.
  • Strong working knowledge of LangChain, LangGraph, CrewAI, or similar frameworks.
  • Experience designing and operating RAG pipelines using vector databases, embedding models, and hybrid retrieval strategies.
  • Solid understanding of cloud-native architecture, REST/gRPC APIs, and containerized microservices.
  • Ability to document and communicate architectural decisions clearly and influence engineering direction.
  • Bachelor's or Masters degree in Computer Science, Engineering, or related field.