AI Architect – Enterprise Strategy
Tasks
- Build LLM-based applications
- Build autonomous agent solutions
- Define responsible AI best practices
- Deploy production ready AI systems
- Design enterprise generative AI architectures
- Develop multi-agent systems
- Establish observability and testing
- Experiment with emerging AI frameworks and tools
- Implement MLOps monitoring and evaluation
- Integrate AI solutions with enterprise systems
- Orchestrate multi-step AI workflows
- Translate business objectives into AI roadmaps
Perks/Benefits
Skills/Tech-stack
AI Services | APIs | AWS | Agent systems | Autogen | Azure | Bias Mitigation | CRM | Cloud AI | Cloud AI services | Cloud platform | ERP | Generative AI | Google Cloud | Google Cloud Platform | Hallucination mitigation | LLM | Langchain | Llamaindex | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Vector Databases | Workflow Orchestration
Education
N/A
Roles
AI | AI Architect | Architect | Enterprise AI | Enterprise AI Architect
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