AI Specialist (Applied AI)
Tasks
- Advise on AI readiness data governance
- Build Agentic Automation
- Conduct client discovery
- Contribute to reusable AI accelerators
- Define prompt specifications
- Design LLM workflows
- Develop RAG systems
- Establish evaluation criteria
- Implement responsible safe AI deployment
- Integrate AI into client systems
- Measure solution quality accuracy ROI
- Review AI production builds
- Scope applied AI solutions
- Translate business problems into AI solutions
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Automation | Azure | Cloud platform | Embeddings | Google Cloud | Google Cloud Platform | Guardrails | LLM Frameworks | Language Models | Large Language Models | MLOps | Model Evaluation | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Stores
Education
N/A
Roles
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