GCP-AI Architect

In this role as a GCP AI Architect at DigiMantra, you will be responsible for designing and delivering enterprise-grade solutions with a focus on AI innovation. Your primary role will involve shaping the architecture and technical direction of AI-powered products and platforms to drive innovation and value. Your key responsibilities will include: - Architecting and leading the development of scalable, secure, and high-performance AI solutions using LLMs, RAG, and MCP. - Defining and implementing strategies for LLM model selection, prompt engineering, tool calling, and chunking optimization. - Collaborating with engineering teams to integrate AI capabilities into frontend (React, TypeScript) and backend (Python, FastAPI) systems. - Guiding the implementation of OAuth 2.0, API-based system integrations, and cloud-native deployments (preferably on GCP). - Working closely with QA, DevOps, and delivery teams to ensure end-to-end solution quality and performance. - Engaging with stakeholders to understand business needs and translating them into innovative AI architectures. - Providing technical leadership and mentorship across cross-functional teams. - Staying ahead of emerging AI trends and evaluating new tools, frameworks, and platforms for enterprise adoption. To qualify for this role, you should have: - 10+ years of experience in software architecture and solution design. - Proven experience in Generative AI, LLM integration, and RAG implementation. - Familiarity with MCP protocol, tool calling, and prompt engineering. - Proficiency in Python, FastAPI, and OAuth 2.0 for backend development. - Knowledge of React, TypeScript, and Tailwind CSS for frontend integration. - Strong understanding of cloud platforms, preferably Google Cloud Platform (GCP). - Experience in Agile delivery environments and stakeholder engagement. - Educational background: 10 + 2 + 4 (Bachelors degree in Computer Science, Engineering, or related field). As a GCP AI Architect at DigiMantra, you will showcase expertise in AI system architecture, innovation leadership, stakeholder management, agile execution, and end-to-end delivery. Your role will be crucial in driving AI innovation and technical excellence within the organization.,