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.
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