Job Purpose

The Agentic AI Architect is responsible for defining and delivering the architecture for next-generation AI systems leveraging Large Language Models (LLMs), autonomous agents, and multi-agent orchestration frameworks to enable intelligent automation and advanced digital capabilities.

This role focuses on designing scalable, secure, and production-ready AI platforms that support intelligent decision systems, conversational interfaces, automation workflows, and data-driven operational insights.

The Architect will collaborate closely with AI engineers, data engineers, platform teams, and product stakeholders to build enterprise-grade agentic AI systems aligned with organizational technology strategy, governance standards, and security policies.

Key Accountabilities

Strategic Activities

Define enterprise architecture for agentic AI platforms, including multi-agent systems, orchestration frameworks, and LLM-driven applications.
Design secure Function Calling interfaces and Tool Definition schemas to enable agents to interact with legacy systems, SQL databases,



and enterprise CRMs.
Architect Human-in-the-loop checkpoints and state-management protocols to ensure autonomous actions remain within defined operational guardrails.
Drive adoption of Generative AI and autonomous agent systems across digital and operational platforms.
Establish architecture standards for LLM pipelines, prompt engineering, evaluation frameworks, vector search, and Retrieval Augmented Generation (RAG).
Design scalable AI inference architectures and microservices optimized for latency, cost efficiency, and reliability.
Define governance frameworks ensuring responsible AI usage, security, explainability, and regulatory compliance.
Contribute to the AI technology roadmap, including evaluation of current AI platforms, frameworks, and vendor solutions.
Monitor emerging AI technologies and evaluate their potential impact and opportunities for the organization.
Balance rapid innovation and ex

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