AI Agentic Architect/Lead

About the job

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 jwalesh.b@cognizant.com