Technical Architect

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