Job Description

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.