AI Architect

Straive; Chennai District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Straive seeks an AI Architect (Associate Director/Director) with 12-15 years of software engineering experience to design, develop, and deliver enterprise AI platforms. The role involves leading engineering teams, mentoring staff, and translating business problems into scalable AI products leveraging RAG, LangChain/LangGraph, and OCR/Document AI.

The ideal candidate combines deep software architecture expertise with hands-on production-grade AI system delivery, capable of guiding

Qualifications

• 12–15 years of software engineering experience.
• Experience leading engineering teams and delivering AI platforms.
• Experience delivering AI solutions involving RAG, LangGraph, Agentic AI.
• Ability to translate business problems into scalable AI products.

Responsibilities

• Design scalable AI solutions using modern LLM architectures.
• Architect Retrieval-Augmented Generation (RAG) platforms.
• Design multi-agent AI systems using LangGraph or similar orchestration frameworks.
• Build AI-first products for document processing, knowledge management, search, and workflow automation.
• Lead technical discussions with stakeholders and clients.

Skills

AI architecture

Leadership

Mentoring

Enterprise-scale AI

Tools

LangChain/LangGraph

RAG platforms

OCR/Document AI

Job description

Role Title : AI Architect (Associate Director/ Director)

We are looking for an experienced AI Architect with 12–15 years of software engineering experience and a strong background in designing, developing, and delivering enterprise-scale AI solutions. The ideal candidate will have extensive experience leading engineering teams while architecting AI-powered platforms involving Generative AI, RAG (Retrieval-Augmented Generation), LangChain/LangGraph, Agentic AI, OCR/Document AI, Knowledge Graphs, and Intelligent Automation.

This role requires someone who can translate business problems into scalable AI products, mentor engineering teams, establish technical standards, and successfully deliver production-ready AI systems.

The ideal candidate is a seasoned engineering leader who combines deep software architecture expertise with hands-on experience building production-grade AI systems. They should be equally comfortable reviewing code, designing enterprise-scale architectures, leading technical teams, and engaging with business stakeholders. Practical experience delivering solutions involving RAG, LangGraph, Agentic AI, OCR/Document AI, and end-to-end GenAI platforms is essential, along with a proven ability to translate emerging AI capabilities into scalable, secure, and business-impacting products.

Key Responsibilities :

• Design scalable AI solutions using modern LLM architectures.
• Architect Retrieval-Augmented Generation (RAG) platforms.
• Design multi-agent AI systems using LangGraph or similar orchestration frameworks.
• Build AI-first products for document processing, knowledge management, search, and workflow automation.
• Lead technical discussions with stakeholders and clients.

Technical Leadership :

• Lead a team of AI Engineers, Software Developers, ML Engineers, and Data Engineers.
• Perform architecture reviews and code reviews.
• Establish engineering standards and best practices.
• Mentor senior and junior engineers.
• Own technical roadmap and delivery milestones.
• Manage a team of 8–20 engineers.
• Mentor Technical Leads and Senior Developers.
• Conduct technical interviews.
• Drive innovation initiatives.
• Collaborate with Product, QA, DevOps, and Business teams.
• Manage project planning, risk mitigation, and stakeholder communication.

Soft Skills :

• Excellent leadership and mentoring abilities.
• Strong communication and stakeholder management skills.
• Strategic thinking with a delivery-oriented mindset.
• Strong problem-solving and analytical capabilities.
• Ability to lead cross-functional and geographically distributed teams.
• Customer-facing consulting and solution presentation experience.