- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- Python
- Azure
- cloud infrastructure
- communication skills
- compliance
- DevOps
- Docker
- GitHub
- Linux
- machine learning
- platform services
- PostgreSQL
- Redis
- Terraform
- Vault
About the role
Promaynov Advisory Services Pvt. Ltd
Website:
promaynov.com
Job details:
AI Landing Zone - JD (AI - 2+ years)
Con: 3-5 years
Sr. Con: 4-7 years
- It's crucial to have a deep understanding of Azure infrastructure, including Linux & Windows.
- Design, build, and optimize Azure AI Landing Zones aligned with Microsoft Cloud Adoption Framework (CAF) and Enterprise Scale Landing Zone architecture.
- Deploy and integrate core AI platform services including Azure OpenAI, Azure AI Foundry / AI Studio, Azure Machine Learning / AI workflows, Vector databases (Cosmos DB, PostgreSQL with pgvector, Cognitive Search, Redis)
- Implement Enterprise Security for AI Landing Zones, including Private/OpenAI endpoints, Key Vault, role-based access, identity isolation, Data loss prevention (DLP) patterns for AI usage.
- Azure Policy guardrails and governance.
- Strong experience with Azure Landing Zones, Enterprise-scale architecture, and AI/ML cloud infrastructure.
- Build and automate Landing Zone deployments using Terraform, or Bicep.
- Develop CI/CD pipelines for provisioning AI resources, AML pipelines, AKS clusters, and integration patterns using Azure DevOps or GitHub Actions.
- Automate environment creation for multiple teams working on AI development.
- Strong experience with Terraform / Bicep, Azure DevOps / GitHub Actions, AKS, Docker, and Python.
- Hands-on experience with CI/CD pipelines using Azure DevOps or GitHub Actions / Runners
- Hands-on experience with Azure OpenAI, AI Foundry, Azure Machine Learning, and associated ecosystem services.
- Deep understanding of Azure networking, identity, governance, and security.
- Establish secure environment patterns for prompt engineering, model deployment, model lifecycle management, and AI agent frameworks.
- Ensure compliance with organizational and regulatory requirements when enabling Generative AI services.
- Design Discussions and Documentation: Experience in driving design discussions with architects and application teams, as well as documenting the processes and decisions
- Leadership and Team Management: The ability to lead a team and drive activities and deliverables to closure as per schedule is important.
- Customer Facing Experience: Strong communication skills and experience in customer-facing roles are required.
- Good to have - Migrate on-prem or cloud workloads to Azure AI environments.
Click on Apply to know more.
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