AI Tech Lead

Position Overview: The AI Tech Lead will architect and guide the implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications. The role requires strong architectural judgment, hands-on expertise in AI/LLM systems, and the ability to define high-performance, scalable best practices. Key Responsibilities: • Architect and guide implementation of real-time AI systems across voice automation, LLM pipelines, and knowledge-enhanced applications • Design and develop distributed, provider-agnostic AI architectures with performance guarantees including low latency, resilient failover, distributed scaling, and cost-efficiency • Define architectural best practices for GenAI systems including prompt design, context shaping, fallback logic, caching, and real-time agent orchestration • Lead AI model governance including evaluation and selection frameworks for multiple LLM providers, routing logic, benchmarking, and cost management • Establish and monitor KPIs for LLM quality, latency, reliability, grounding accuracy, and system stability • Ensure data security practices for handling of voice and transcript data, applying PII-safe methods, and supporting multi-tenant data isolation • Own knowledge integration and RAG architecture including vector databases, retrieval strategies, chunking policies, and hybrid grounding methods • Continuously evaluate new model capabilities and AI technology trends Required Skills: • Architectural judgment and hands-on expertise in AI and LLM systems • Experience designing scalable and low-latency AI architectures• Knowledge of multi-provider LLM integration and orchestration • Understanding of distributed systems, microservices, and load balancing • Strong grounding in AI model governance and benchmarking • Awareness of data security and privacy best practices • Experience with retrieval-augmented generation (RAG) and vector databases Preferred (Bonus) Skills: • Experience with function-calling and knowledge graphs • Familiarity with hybrid grounding and retrieval enhancement strategies • Experience with voice automation systems (STT/TTS pipelines). give me in a proper formate