Key Responsibilities: Technical Architecture Ownership: Lead the end-to-end architecture and design of scalable, secure, and robust GenAI solutions built around Multi-Agent Systems, Generative AI, RAG, Knowledge Graphs, and SLM/LLM integrations. Develop detailed solution blueprints, patterns, and architectural standards for multi-agent orchestration and workflow automation. Hands-on Engineering Leadership: Actively participate in coding, prototyping, and hands-on development, particularly in early stages of product and feature development. Contribute directly to critical components involving LangChain, LangGraph, Hugging Face, vector databases, AI-powered agents and of various AI/ML tools. Lead implementation of sophisticated data pipelines and integrations with various AI technologies including Voice Agents, Speech-to-Text, Text-to-Speech, and Realtime Speech-to-Speech solutions. Team Development & Technical Mentorship: Mentor, groom, and expand technical leads and engineers, fostering innovation, autonomy, and accountability. Ensure technical teams adhere to the defined architectural standards, AI solutioning best practices, and technical roadmaps. Stakeholder Engagement & Cross-Team Collaboration: Collaborate closely with Product, Delivery, and client-facing teams to translate business objectives into technical deliverables. Clearly communicate architectural strategies, trade-offs, and technical decisions to both technical and non-technical stakeholders. Best Practices & Standards Enforcement: Drive adoption of best practices in software and AI architecture, scalability, maintainability, and performance optimization. Ensure alignment with Responsible AI guidelines and regulatory standards. Required Qualifications: 7+ years of hands-on experience in Software Development and Solution Architecture, including significant experience architecting AI-powered solutions. Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related technical fields. Background in building AI solutions for enterprise-scale use cases with demanding real-time or high-performance requirements. Track record of working effectively in a fast-paced, agile, startup environment. Deep hands-on experience with: Generative AI & Multi-Agent Systems : Integration and orchestration using frameworks such as LangChain, LangGraph, Hugging Face, or equivalent. Job Type: Full-time Pay: ₹1,000,000.00 - ₹2,000,000.00 per year Work Location: In person