Azure AI Solution Architect

Techling (Private) Limited; Sheikhupura; Hybrid; PKR 2,000,000 - 2,500,000; Full time

Job summary

A leading technology service provider is seeking an Azure AI Solution Architect to design and implement scalable AI solutions on Microsoft Azure. The ideal candidate should have 8+ years of IT experience with a focus on AI/ML and Azure, and proven skills in developing secure cloud architectures. Interested applicants can send their resumes to [e-mail].

Qualifications

• Proven experience in AI/ML solutions on Azure.
• Hands-on experience with Azure services and APIs.
• Experience designing governed cloud environments.

Responsibilities

• Design scalable AI solutions using Azure.
• Implement MLOps pipelines for model lifecycle management.
• Design secure cloud architectures adhering to best practices.

Skills

Building and deploying AI/ML solutions on Microsoft Azure

Hands-on with Azure OpenAI Service

Proficient in Python

Familiarity with Azure Machine Learning

Knowledge of AI orchestration frameworks

Education

Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

Microsoft Certified: Azure AI Engineer Associate (AI-102)

Tools

Azure DevOps

Docker

Terraform

Job description

Hiring: Azure AI Solution Architect

Job Type: Full-time

Experience: 8+ Years (At least 3–5 years in AI and Azure Solution Architecture)

Location: Onsite/remote – Sheikhupura, Pakistan

About Role

We are hiring an Azure AI Solution Architect to design and implement scalable, secure AI solutions on Microsoft Azure. The role focuses on integrating LLMs, ensuring Responsible AI, and optimizing cloud-native architectures.

What You'll Do

1. AI Solution Design & Architecture

• Design end-to-end AI solutions with Azure services (OpenAI, Cognitive Services, Machine Learning).
• Develop AI blueprints for data ingestion, model training, deployment, and inference.
• Architect Generative AI, Copilot, and Agentic AI solutions using LLMs and prompt engineering.
• Integrate AI into enterprise apps, APIs, and chat interfaces.
• Design retrieval-augmented generation (RAG) pipelines with Azure AI Search and Vector Databases.

2. Data & Integration Architecture

• Collaborate on data pipelines using Azure Synapse, Data Factory, OneLake/Fabric, and Data Lake.
• Enable data-to-AI integration for training and contextual AI.
• Define governance, lineage, and compliance frameworks for AI workloads.

3. AI Model Deployment & Operations

• Implement MLOps pipelines with Azure Machine Learning and DevOps for lifecycle management.

4. Cloud Architecture & Security

• Design secure, scalable cloud architectures per the Azure Well-Architected Framework.
• Implement RBAC, managed identities, private endpoints, and network isolation.
• Ensure compliance with Responsible AI principles and standards.

5. Collaboration & Technical Leadership

• Partner with data scientists and engineers to deliver deployable AI solutions.
• Lead AI design workshops, POCs, and knowledge-sharing sessions.

What We're Looking For

• Proven experience building and deploying AI/ML solutions on Microsoft Azure.
• Hands-on experience with:
  • Azure OpenAI Service (GPT, Codex, Embeddings, etc.)
  • Azure AI Foundry and Cognitive Services (Vision, Speech, Language, Decision)
  • Azure Machine Learning (model training, pipelines, endpoints)
  • Azure AI Search / Cognitive Search for RAG-based applications
  • Strong command of Python, PowerShell, and REST APIs for model integration and automation.
  • Experience with prompt engineering, model fine-tuning, and AI orchestration frameworks (LangChain, Semantic Kernel, Autogen, Microsoft Agentic framework).
  • Familiarity with containerization and orchestration (AKS, ACI, Docker).
  • Understanding of Azure DevOps, IaC (Terraform, Bicep), and CI/CD for AI projects.

Preferred Skills

• 8+ years of IT experience, with 3+ years in AI/ML and cloud solution architecture.
• Strong understanding of LLM architectures, transformer-based models, and RAG patterns.
• Experience designing multi-environment cloud setups (Dev, Stage, Prod) with scalability and governance.

Preferred Qualifications

• Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Experience with OpenAI API, Copilot Studio, Azure Bot Framework, or LangChain/Semantic Kernel.
• Exposure to MLOps, Responsible AI frameworks, and AI policy governance.
• Background in data analytics, knowledge mining, or generative AI applications.

Send your updated resume to [e-mail]

#hiring