Lead Architect

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Lead hands-on engineering for AI solutions across Deep Learning, GenAI, Agentic AI, and multimodal use cases. Apply fail-fast logic to identify unviable AI projects early. Perform trade-off analysis on model class, retrieval design, memory optimization, and orchestration. Own reference architectures and solution design patterns for multimodal agentic systems. Design and build multi-agent systems with reasoning, planning, tool use, persistent memory, and grounded retrieval. Lead multimodal system design for text, vision, speech, and structured data. Establish SLM design patterns including distillation, fine-tuning, quantization, and routing. Define hybrid retrieval and knowledge architectures using vector, graph, and NoSQL stores. Establish evaluation frameworks and enforce AI safety, guardrails, and hallucination control. Set production readiness standards for reliability, latency, cost, monitoring, and incident response. Lead GPU/accelerator operations and model lifecycle automation across cloud, on-prem, and edge. Mentor engineers and enforce AI in SDLC frameworks. Engage with clients and stakeholders on architecture and risk. Support pre-sales and solutioning for GenAI and Agentic AI opportunities. Requires ~8 years software engineering experience including 3+ years in Deep Learning and AI production systems, hands-on GenAI/Agentic AI experience, strong Python and SQL skills, backend engineering experience, cloud and data engineering expertise, and strong math foundations. Hybrid work with minimum 3 days in-office in Pune.