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AI Architect

India, Tamil Nadu, Chennai

2 weeks ago

Applicants: 0

Salary Not Disclosed

2 weeks left to apply

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 [email protected]

Additional Information

Company Name
Cognizant
Industry
N/A
Department
N/A
Role Category
Cloud Engineer
Job Role
Mid-Senior level
Education
No Restriction
Job Types
Remote
Gender
No Restriction
Notice Period
Immediate Joiner
Year of Experience
1 - Any Yrs
Job Posted On
2 weeks ago
Application Ends
2 weeks left to apply

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