Job Title: AI Innovation Architect

 

Job Summary

We are seeking a visionary and hands-on AI Innovation Architect with a strong background in software engineering, cloud platforms, and Generative AI. The ideal candidate will have 10+ years of experience in designing and delivering enterprise-grade solutions, with deep expertise in LLM integration, MCP protocol, RAG architecture, and AI-driven application design. This role is pivotal in shaping the architecture and technical direction of AI-powered products and platforms, collaborating across engineering, product, and business teams to drive innovation and value.

 

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.

 

Qualifications

10+ years of experience in software architecture and solution design. Proven experience in: Generative AI, LLM integration, and RAG implementation. MCP protocol, tool calling, and prompt engineering. Python, FastAPI, and OAuth 2.0 for backend development. 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 (Bachelor’s degree in Computer Science, Engineering, or related field).

 

Key Competencies

AI & System Architecture: Expertise in designing AI-first systems with scalable and modular architecture. Innovation Leadership: Ability to drive innovation and influence technical direction across teams. Stakeholder Management: Strong communication and expectation-setting skills with technical and business stakeholders. Agile Execution: Experience leading Agile teams and delivering iterative value. End-to-End Delivery: Proven ability to oversee architecture, development, testing, and deployment of AI solutions.