Technology Architect

2 days ago


Chennai, Tamil Nadu, India Cognizant Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role Overview: You will be responsible for designing scalable GenAI systems like RAG pipelines and multi-agent systems. You will have to choose between hosted APIs and open-source models, as well as architect hybrid systems combining LLMs with traditional software. Key Responsibilities: - Benchmark models such as GPT-4, Claude, Mistral, and LLaMA. - Understand trade-offs including latency, cost, accuracy, and context length. - Design enterprise-grade RAG systems using vector databases like Pinecone, Weaviate, and Qdrant with LangChain or LlamaIndex. - Implement security, privacy, and governance measures including data privacy, access control, and audit logging. - Optimize cost and monitor GenAI inference costs using observability tools like Arize, WhyLabs, and PromptLayer. - Fine-tune open-source models using PEFT, LoRA, QLoRA, and perform knowledge distillation for smaller, faster models. - Design multi-agent systems and agent workflows such as AutoGen, CrewAI, and LangGraph. - Integrate LLMs with external tools, APIs, and databases, and manage tool routing effectively. - Identify use cases with high ROI, balance feasibility, desirability, and viability, and lead GenAI proof of concepts and MVPs. - Mentor and upskill teams by training developers on prompt engineering, LangChain, and establishing GenAI best practices through code reviews and internal hackathons or innovation sprints. Qualifications Required: - Strong understanding of AI solution architecture and model evaluation and selection. - Proficiency in designing scalable GenAI systems and enterprise-grade RAG systems. - Experience in security, privacy, and governance implementation. - Ability to optimize costs and monitor GenAI inference costs effectively. - Advanced technical skills in model fine-tuning, distillation, and designing multi-agent systems. - Leadership experience in team and product leadership, including mentoring and upskilling teams.,


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