AI Engineer Lead, Application Development
Tasks
- Build CI/CD pipelines and automated testing
- Coach engineers on LLMOps and secure AI delivery
- Configure observability and monitoring
- Define reusable solution patterns
- Design agentic workflows and orchestration
- Develop Retrieval-augmented generation solutions
- Enforce data privacy and access control
- Establish production readiness gates
- Implement audit logging and rollback planning
- Implement document and policy intelligence
- Integrate models and tools with core systems
- Lead AI workflow automation architecture
- Manage infrastructure as code
- Provide incident response runbooks
- Run UAT and operational support planning
- Set engineering standards for secure delivery
Perks/Benefits
- Community events
- Health spending account
- Maternity and Parental Leave Top-Up
- Modern office environment
- Supportive teamwork culture
- Training programs
Skills/Tech-stack
.NET | AI Document Intelligence | API Management | Azure | Azure AI | Azure AI Document Intelligence | Azure DevOps | Azure Monitor | Azure OpenAI | Azure OpenAI Service | Blazor | CI/CD | Cost monitoring | Databricks | Databricks Model Serving | Delta Lake | Document Intelligence | Entra ID | FastAPI | FinOps | Git | Infrastructure as Code | Key Vault | Log Analytics | MLflow | Model Evaluation | Model Serving | Observability | OpenAI Service | Prompt governance | Python | React | SQL | Service Bus | Terraform | TypeScript | Unity Catalog | Vector Database | Vector Search | “as-code”
Education
Roles
AI | AI Engineer | AI Engineer Lead | Architect | Engineer | Engineer Lead | Lead | Learning Engineer | Machine Learning Engineer | Software Engineer | Solutions Architect
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