Lead Engineer: AI
Tasks
- Build document extraction workflow automation case support tools
- Collaborate with stakeholders to identify use cases and deliver business value
- Design develop test deploy maintain AI enabled solutions
- Ensure production ready solutions with testing version control documentation performance monitoring
- Evaluate tools for cost effectiveness maintainability governance fit
- Implement validation exception handling approval steps audit trails logging monitoring escalation paths
- Improve processes reduce manual effort increase quality
- Integrate AI solutions with internal systems databases APIs case management
- Process structured and unstructured data
- Support compliance with data protection information security responsible AI standards
- Translate operational problems into technical solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Builder | AI Services | API Integration | Access Management | Audio Processing | Azure | Azure AI | Azure AI Services | Azure OpenAI | C# | Copilot Studio | Database Integration | Document processing | Exception Handling | Human-in-the-loop | Identity and Access Management | Identity and access | Image Processing | LLM orchestration | Language Model | Large Language Model | Logging | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Services | Microsoft Fabric | Monitoring | Power Platform | Prompt engineering | Python | Retrieval-Augmented Generation | Testing | Text processing | The Loop | Validation | Version control | Workflow automation
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | High School Diploma | Master of Science
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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