Senior Engineer- AI
Tasks
- Apply enterprise security and governance with Entra RBAC and Key Vault
- Apply infrastructure as code
- Build hybrid retrieval architectures
- Build production applications with CI CD and monitoring
- Create LLM evaluation and test frameworks
- Deliver agentic AI and generative AI workloads on Azure
- Design AI solutions for enterprise clients
- Develop RAG pipelines and optimize prompts
- Implement MLOps with Azure Machine Learning and Databricks
- Implement model monitoring for drift bias and quality
- Integrate data with ADLS Delta Lake EventHub Synapse and APIs
- Lead workshops mentor engineers and present to stakeholders
- Manage experiment tracking and model registry
- Produce high level and low level design documents
- Use feature stores and automated deployment
Perks/Benefits
- Flexible working arrangements
- Inclusion and diversity focus
- Professional learning and career pathways
- Remote/hybrid work
- Supportive workplace
Skills/Tech-stack
ADLS | AI Search | AKS | Azure | Azure AI | Azure AI Search | Azure DevOps | Azure Key Vault | Azure Machine Learning | Azure Monitor | Bicep | CI/CD | Databricks | Delta Lake | Docker | Entra ID | EventHub | Feature Store | GitHub Actions | Grafana | Infrastructure as Code | Key Vault | LLM Evaluation | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Fabric | Model Monitoring | Model Registry | PGVector | Prometheus | Prompt engineering | Python | RAG | RBAC | Redis | Secrets management | Semantic Kernel | Synapse | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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