AI Innovation Architect

Key Responsibilities:

• Architect and lead the development of scalable, secure, and high-performance AI solutions using LLMs, RAG, and MCP.
• Define and implement strategies for LLM model selection, prompt engineering, tool calling, and chunking optimization.
• Collaborate with engineering teams to integrate AI capabilities into frontend (React, TypeScript) and backend (Python, FastAPI) systems.
• Guide the implementation of OAuth 2.0, API-based system integrations, and cloud-native deployments (preferably on GCP).
• Work closely with QA, DevOps, and delivery teams to ensure end-to-end solution quality and performance.
• Engage with stakeholders to understand business needs and translate them into innovative AI architectures.
• Provide technical leadership and mentorship across cross-functional teams.
• Stay ahead of emerging AI trends and evaluate new tools, frameworks, and platforms for enterprise adoption.