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