Job Description

Position

- Azure AI Architect

Location:

Onsite | Mohali

Experience:

8-12 Years

Employment Type:

Full-Time

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. o Collaborative leadership to mentor and guide cross-functional teams.

Education & Certifications:

Bachelor's/Master's in Computer Science, IT, or related field. Preferred Certifications: o Microsoft Certified: Azure Solutions Architect Expert
Microsoft Certified: Azure AI Engineer Associate o Microsoft Certified: Azure Data Scientist Associate o 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.
Job Types: Full-time, Permanent

Pay: ?818,668.26 - ?14,000,000.00 per year

Benefits:

Health insurance Paid sick time Provident Fund
Work Location: In person