AI Engineer
Tasks
- Apply data privacy best practices
- Build AI assistants and virtual agents
- Build Agentic AI workflows
- Build proof-of-concepts and pilot programs
- Conduct AI discovery workshops
- Create workflow automation solutions
- Define AI service offerings and go to market strategy
- Design AI solution architecture
- Develop AI platform integrations with enterprise systems
- Develop generative AI use cases
- Evaluate emerging AI technologies
- Implement AI governance and security
- Implement Retrieval-Augmented Generation (RAG)
- Integrate AI solutions with HaloITSM
- Mentor developers and consultants
- Present technical concepts to stakeholders
- Support production AI solutions
- Translate business requirements into AI designs
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Services | Anthropic Claude | Azure AI | Azure AI Services | Azure Cognitive | Azure Cognitive Services | Azure OpenAI | C# | Cognitive Services | Conversational AI | Copilot Studio | Enterprise Integration | Google Gemini | HaloITSM | HaloPSA | IT Service Management | IT service | ITIL | JSON | Java | JavaScript | Node.js | OpenAI | Power Platform | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | Semantic Search | Service Management | Vector Database
Education
N/A
Roles
AI | AI Engineer | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Solutions Architect
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