Azure Solutions Engineer (Freelancer)

About Us

Deccan AI Experts is a pioneering AI company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in high-quality human-curated data, AI-first operations, and advanced AI evaluation systems. Our global network of cloud and AI experts helps train and evaluate next-generation AI models through expert technical judgment, enterprise cloud architecture expertise, and real-world Azure solution engineering experience.

About the Role

We are seeking an Azure Solutions Engineer (Freelancer) to support advanced AI evaluation initiatives focused on Microsoft Azure, cloud architecture, cloud-native application development, infrastructure automation, enterprise integrations, AI services, and AI-generated technical content evaluation.

In this role, you will evaluate AI-generated Azure architectures, cloud deployment strategies, infrastructure-as-code templates, security recommendations, DevOps workflows, and technical documentation. Your expertise will help improve AI systems designed for enterprise cloud solutions, Azure AI services, cloud modernization, and digital transformation.

This position is ideal for professionals with experience in Microsoft Azure, cloud engineering, cloud architecture, DevOps, infrastructure engineering, or enterprise cloud consulting.

Responsibilities

• Review AI-generated Azure solution architectures, deployment pipelines, networking configurations, infrastructure templates, cloud migration strategies, and technical documentation.
• Evaluate enterprise solutions involving Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure AI Services, Azure OpenAI Service, and Azure Networking.
• Verify AI-generated recommendations for cloud governance, identity management, disaster recovery, monitoring, backup strategies, and cost optimization.
• Assess AI-generated cloud solutions for security, performance, maintainability, availability, and enterprise readiness.
• Identify architectural flaws, security risks, deployment issues, infrastructure bottlenecks, performance concerns, and operational gaps.
• Provide structured feedback to improve AI performance in Azure architecture, cloud engineering, and enterprise solution design.
• Review peer-developed deliverables to maintain quality and consistency standards.

Requirements

• Bachelors degree in Computer Science, Information Technology, Software Engineering, Cloud Computing, Computer Engineering, or a related field.
• 2+ years of hands-on experience in Microsoft Azure, cloud engineering, cloud architecture, DevOps, infrastructure engineering, or enterprise cloud consulting.
• Designing and deploying Azure cloud solutions.
• Implementing cloud-native applications and infrastructure.
• Managing Azure networking, storage, compute, and identity services.
• Automating cloud deployments using Infrastructure as Code (IaC).
• Reviewing AI-generated Azure architectures and technical documentation.
• Familiarity with REST APIs, CI/CD pipelines, monitoring tools, Microsoft 365 integrations, and enterprise cloud migration strategies.
• Excellent analytical thinking, troubleshooting, cloud architecture, documentation, and written English communication skills.
• Strong attention to detail and ability to evaluate enterprise cloud solutions.
• Ability to work independently in a remote, fast-paced environment.

Preferred Qualifications

• Experience working with enterprise organizations, Microsoft partners, consulting firms, Global Capability Centers (GCCs), cloud service providers, or SaaS companies.
• Experience designing enterprise-scale Azure solutions, cloud migration programs, hybrid cloud environments, or AI-powered cloud applications.
• Experience evaluating AI-generated cloud architectures, deployment strategies, infrastructure documentation, DevOps workflows, or cloud governance frameworks.
• Familiarity with Generative AI, Azure OpenAI Service, AI agents, AI benchmarking, RLHF (Reinforcement Learning from Human Feedback), cloud-native AI applications, or enterprise AI solutions is highly desirable.

Why Join Us

• Competitive hourly pay: ₹1,800/hour
• Fully remote with flexible working hours.
• Opportunity to contribute to cutting-edge AI initiatives in cloud computing, Azure AI, and Generative AI.
• Exposure to advanced AI systems focused on enterprise cloud architecture, Azure OpenAI, cloud-native applications, and digital transformation.
• Flexible project-based opportunities with global teams.
• Work on next-generation AI solutions supporting enterprise organizations, Microsoft ecosystem partners, cloud consulting firms, SaaS companies, and AI-powered cloud platforms