AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
Buenos Aires, Buenos Aires, Argentina
CAD 120K-170K (estimate) Senior-level Full Time
Tasks
- Define model cost security privacy guardrails
- Design multi-agent architectures
- Establish observability tracing feedback loops
- Evaluate LLM reliability and accuracy
- Implement agentic systems from PoC to production
- Implement memory strategies for agents
- Integrate AI into core enterprise systems
- Integrate LLM agents with APIs and tools
- Integrate LLM agents with enterprise data platforms
- Lead teams on best practices for scalable AI systems
- Orchestrate agent workflows
Perks/Benefits
- Career coaching
- Company performance bonuses
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Learning opportunities
- Referral bonus
- Training workshops conferences
- Wellbeing apps access
- Wellbeing programme
Skills/Tech-stack
AI Foundry | APIs | AWS | Agent Orchestration | Agent systems | Amazon Bedrock | Azure | Azure AI Foundry | Context Management | Distributed Systems | Embeddings | Evaluation | Feedback loops | Function Calling | GCP | Google Vertex | Google Vertex AI | Information Retrieval | Language Models | Large Language Models | Machine Learning | Memory Management | Microsoft Azure | Microsoft Azure AI | Microsoft Azure AI Foundry | Multi-Agent | Multi-Agent Systems | Observability | Orchestration Patterns | Python | Retrieval-Augmented Generation | Semantic similarity | Software Architecture | Text Embeddings | Tokenization | Tool use | Tracing | Transformer Architecture | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
Regions
Countries
States
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