AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
Córdoba, Cordoba, Argentina
CAD 146K-175K (estimate) Senior-level Full Time
Tasks
- Coordinate multi-agent systems
- Define memory strategies
- Define model cost security privacy guardrails
- Deploy agentic systems from PoC to production
- Design multi-agent architectures
- Establish observability tracing feedback loops
- Evaluate LLM reliability and accuracy
- Implement controls for agent behavior
- Integrate AI into core enterprise systems
- Integrate LLM agents with APIs and tools
- Integrate LLM agents with enterprise data platforms
- Lead team training and best practices
- Orchestrate agent workflows
Perks/Benefits
- Career coaching
- Coaching
- Employee assistance programme
- Flexible working hours
- Global career opportunities
- Health and wellbeing apps
- Hybrid work
- Internal tech communities
- Training workshops conferences
- Wellbeing programme
Skills/Tech-stack
AI Foundry | APIs | AWS | Agent systems | Amazon Bedrock | Attention Mechanisms | Azure | Azure AI | Azure AI Foundry | Context window | Distributed Systems | Driven systems | Event Driven | Event Driven Systems | Fine Tuning | Function Calling | GCP | Google Vertex | Google Vertex AI | Instruction Tuning | LLM orchestration | Language Models | Large Language Models | Memory Management | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | Retrieval optimization | Retrieval-Augmented Generation | Semantic similarity | Software Architecture | Text Embeddings | Tokenization | Tool use | Tracing | Transformer | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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