Tasks:
Architect cloud infrastructure solutions
Automate cloud deployments with CI/CD pipelines
Build agentic AI solutions using cloud AI platforms
Create monitoring observability and incident response automation
Design IAM and networking for cloud environments
Design secure scalable resilient hybrid cloud architectures
Develop Python based generative AI proof of concept
Implement DevSecOps secure coding practices
Implement infrastructure as code for cloud provisioning
Implement retrieval-augmented generation solutions
Optimize cloud costs and resource utilization
Perks/Benefits:
C level presentations
Client advisory
Mentoring junior resources
Professional development
Skills/Tech-stack:
AI Foundry | Access Management | Active Directory | Agent Builder | Agent Orchestration | Ansible | Artifact management | Azure | Azure AI | Azure AI Foundry | Azure DevOps | Azure OpenAI | CI/CD | Cloud Build | Cloud Infrastructure Architecture | Cloud Native | Cloud infrastructure | Cloud platform | Code Quality | Copilot Studio | Cost Optimization | DevSecOps | ELK | Enterprise Architecture | GitHub | GitHub Actions | Google Cloud | Google Cloud Build | Google Cloud Platform | Google Cloud Vertex | Google Cloud Vertex AI | Grafana | Hybrid Cloud | Identity and Access Management | Identity and access | Infrastructure architecture | Infrastructure as Code | Jenkins | LLM orchestration | Language Models | Large Language Models | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Model Deployment | Multi-cloud | Networking | Nutanix | Observability | Prompt Flow | Prompt design | Prompt engineering | Python | RAG | Red Hat | Red Hat OpenShift | Release automation | Reliability Engineering | Resilience | Retrieval-Augmented Generation | Scalability | Security | Site Reliability | Site Reliability Engineering | Splunk | TOGAF | Terraform | VMware | Vector Search | Vertex AI | "as-code"
Education:
Bachelor of Engineering
Roles:
AI | AI Architect | Architect | Cloud Architect | Cloud) | DevOps | DevOps Engineer | Engineer