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Cognizant
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Technology Architect

Technology Architect

Cognizant

5 - 9 years

0 Lacs

chennai tamil nadu

Posted:9 hours ago| Platform: Shine logo

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Skills Required

python ai solution architecture model evaluation selection enterprisegrade rag systems security privacy governance cost optimization monitoring model finetuning distillation multiagent systems toolformer function calling genai product thinking mentoring upskilling teams

Work Mode

On-site

Job Type

Full Time

Job Description

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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Technology Architect