<p><p><b>About Us : </b></p><p><b><br/></b></p><p>TechRBM is a rapidly scaling technology partner to global enterprises, specializing in AI, Cloud, Data Engineering, and Digital Transformation.
With a team strength of 200+ professionals and scaling toward 500, we are building AI-first cloud architecture leadership to deliver secure, scalable, and intelligent enterprise platforms.</p><br/><p><b>Role Overview : </b><br/><br/></p><p>We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment.
</p><p><br/></p><p>This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms.</p><br/><p><b>Key Responsibilities : </b><br/><br/></p><p>- Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI.<br/><br/></p><p>- Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.<br/><br/></p><p>- Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions).<br/><br/></p><p>- Build automation scripts and tools using .NET/C# or Python.<br/><br/></p><p>- Manage and optimize Windows Server and Linux/Unix environments for AI workloads.<br/><br/></p><p>- Deploy and orchestrate AI-driven applications on Kubernetes/AKS.<br/><br/></p><p>- Ensure Responsible AI practices, security, compliance, and governance across AI deployments.<br/><br/></p><p>- Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK).<br/><br/></p><p>- Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions.<br/><br/></p><p>- Mentor engineers on Azure AI, DevOps, and automation best practices.</p><br/><p><b>Required Skills & Experience : </b><br/><br/></p><p>- 8-12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design.<br/><br/></p><p>- Strong expertise in Azure AI services : Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.<br/><br/></p><p>- Hands-on programming in .NET/C# or Python (must-have).<br/><br/></p><p>- Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).<br/><br/></p><p>- Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.<br/><br/></p><p>- Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.<br/><br/></p><p>- Familiarity with data engineering pipelines and AI integration patterns.<br/><br/></p><p>- Knowledge of Responsible AI, security, compliance, and governance frameworks.<br/><br/></p><p>- Bonus : Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.</p><br/><p><b>Soft Skills : </b><br/><br/></p><p>- Ability to balance strategic design with hands-on execution.<br/><br/></p><p>- Excellent problem-solving and analytical abilities.<br/><br/></p><p>- Strong client-facing and communication skills.<br/><br/></p><p>- Collaborative leadership to mentor and guide cross-functional teams.</p><br/><p><b>Education & Certifications : </b><br/><br/></p><p>- Bachelor's/Master's in Computer Science, IT, or related field.<br/><br/></p><p>- Preferred Certifications : <br/><br/></p><p>o Microsoft Certified : Azure Solutions Architect Expert<br/><br/></p><p>o Microsoft Certified : Azure AI Engineer Associate<br/><br/></p><p>o Microsoft Certified : Azure Data Scientist Associate<br/><br/></p><p>o Kubernetes CKA/CKAD, Terraform Associate</p><br/><p><b>Why Join Us?</b><br/><br/></p><p>- Shape AI-first cloud architectures for global enterprises.<br/><br/></p><p>- Be part of a fast-scaling IT services company with 200+ professionals and global exposure.<br/><br/></p><p>- Work with cutting-edge AI, Cloud, and Data solutions.<br/><br/></p><p>- Competitive compensation + performance bonuses.<br/><br/></p><p>- Inclusive, collaborative, and innovation-driven culture.</p><br/></p> (ref:hirist.tech)