Agentic AI Architect

Bradsol (BRAD Contech Solutions Pvt Ltd); Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

Bradsol (BRAD Contech Solutions Pvt Ltd) seeks an experienced Agentic AI Architect to design and lead enterprise-grade AI, Generative AI, and Intelligent Automation solutions. You will collaborate with clients, AI engineers, business analysts, and solution teams to build scalable, secure AI-agent architectures.

The role emphasizes architecture design, governance, and hands-on guidance for multi-disciplinary teams, with a focus on enterprise data, APIs, and cloud-native implementations.

Qualifications

• Bachelor’s or Master’s degree in CS/AI/Engineering.
• Strong experience in enterprise AI and automation.
• Experience with AI governance and security is a plus.

Responsibilities

• Design single-agent and multi-agent AI architectures for enterprise use cases.
• Define agent workflows, memory, reasoning, tool calling, and human-in-the-loop processes.
• Design LLM and RAG-based enterprise solutions using knowledge bases.
• Architect integrations with APIs, databases, enterprise apps, and RPA.
• Define AI security, guardrails, governance, and exception handling.
• Evaluate LLMs and AI frameworks for performance and cost.
• Lead POCs, architecture reviews, and client discussions.
• Guide engineers and solution teams on implementation best practices.

Skills

Agentic AI

Generative AI

LLMs

RAG

AI Agents

Education

Bachelor’s/Master’s degree in Computer Science, AI, Engineering

Tools

LangGraph

LangChain

Semantic Kernel

AutoGen

CrewAI

Copilot Studio

Job description

We are looking for an experienced Agentic AI Architect to design and lead enterprise-grade Agentic AI, Generative AI, and Intelligent Automation solutions. The candidate will work with clients, AI engineers, business analysts, and solution teams to build scalable and secure AI-agent architectures.

Key Responsibilities

• Design single-agent and multi-agent AI architectures for enterprise use cases.
• Define agent workflows, orchestration, memory, reasoning, tool/function calling, and human-in-the-loop processes.
• Design LLM and RAG-based solutions using enterprise data and knowledge bases.
• Architect integrations with APIs, databases, enterprise applications, and RPA platforms.
• Define AI security, guardrails, permissions, governance, and exception handling.
• Evaluate LLMs and AI frameworks based on performance, cost, scalability, and business requirements.
• Lead POCs, technical solutioning, architecture reviews, and client discussions.
• Guide AI engineers and development teams on implementation and best practices.

Required Skills

• Strong experience in Agentic AI, Generative AI, LLMs, RAG, and AI Agents.
• Experience with LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI, or Copilot Studio.
• Strong knowledge of Python, APIs, microservices, vector databases, and cloud architecture.
• Experience with Azure OpenAI / Azure AI Foundry is preferred.
• Knowledge of UiPath, Automation Anywhere, or Power Automate is an advantage.
• Strong enterprise architecture, solutioning, and client-facing skills.

Education

Bachelor’s/Master’s degree in Computer Science, AI, Engineering, IT, or a related field.