AI Architect

21 hours ago


Chennai India Cognizant Full time

Job Description AI Agentic Architect/Lead The Architect/Lead is responsible for the end-to-end vision, design, and successful production deployment of complex, autonomous AI systems (Agents). Hands-on expertise in architecting and deploying AI/ML solutions on a leading cloud platform Azure/AWS/GCP. Demonstrated expertise in Python and modern ML/AI frameworks, with the ability to design, implement, and optimize complex agentic workflows. System Design & Architecture - Lead the design and development of agentic systems using GenAI and Machine Learning. This involves selecting the right frameworks (like LangChain, LlamaIndex, or proprietary solutions) and architectural patterns. - Engineer dynamic context using memory modules, prompt templates, and retrieval strategies. - Define and enforce guardrails and context governance across agent interactions and LLM outputs. Prioritize security by implementing secure architecture patterns Full-Stack ML/AI Engineering Expertise - Own the full lifecycle: data sourcing, model development, orchestration, deployment, and LLMOps. - Rapidly prototype solutions to validate technical feasibility and then successful Minimum Viable Products (MVPs) into robust, scalable enterprise applications that demonstrably meet core KPIs - Proven hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, or equivalent, including designing multi-agent workflows and tool-augmented reasoning systems. - Determine when and how to apply fine-tuning or prompt engineering to optimize model performance - Expertise in applying advanced model selection, feature engineering, and evaluation techniques. - Establish monitoring strategies utilizing cloud-native tools like Azure Monitor and Application Insights Institute MLOps/LLMOps practices for tracking model iterations, deployment gates , rapid restoration, and actively monitoring drift detection - Design and automate Continuous Integration and Continuous Delivery (CI/CD) pipelines, leveraging tools like Azure DevOps, GitHub Actions, or similar systems Technical Leadership - Serve as the authority on critical architectural choices, trade-offs, and technology stack selection. - Work closely with Product Owners to define requirements, Data Scientists, Business Stakeholders acting as the primary technical interface. Send your resume to [Confidential Information]



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