Lead AI Architect
Tasks
- Contribute to development and troubleshooting
- Create self healing highly available architectures
- Design cloud-native platforms
- Identify future opportunities in cloud, data, AI, and automation
- Lead engineering best practices and design decisions
- Lead proofs of concept for AI ML data engineering and cloud services
- Mentor engineers and drive engineering standards
- Model systems and define technical documentation
- Present architectural roadmaps
- Shape long term architecture vision for data and AI platforms
- Support platform evolution with cloud code and infrastructure expertise
Perks/Benefits
Skills/Tech-stack
.NET | AKS | Application Firewall | Authentication | Azure | Azure Data | Azure Data Factory | Azure Kubernetes | Azure Kubernetes Service | CI/CD | Cloud automation | Data Factory | Data Lakehouse | Databricks | DevSecOps | Distributed Systems | Event Driven | Event-driven architecture | Go | Gradle | IaC | Infrastructure as Code | Java | Kubernetes Service | LLMs | Language Processing | Maven | Migrations | NLP | Natural Language | Natural Language Processing | Network Security | OCR | Python | RAG | REST | Retrieval-Augmented Generation | SOAP | SonarQube | Spring MVC | Synapse Analytics | System security | Technical documentation | WAF | Web Application | Web Application Firewall | Zero Trust | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect | Cloud Architect | Cloud)
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