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AI Innovation Architect

4 weeks ago

Bengaluru, India NTT DATA Full time

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: 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.