AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)
Monterrey, Nuevo León, Mexico
MXN 900K-1100K (estimate) Senior-level Full Time
Tasks
- Collaborate with data platform and engineering teams
- Define memory strategies
- Define model cost security and privacy guardrails
- Design multi-agent architectures
- Establish controls for agent behavior
- Guide teams on scalable reliable AI best practices
- Implement observability tracing and feedback loops
- Integrate AI into core enterprise systems
- Integrate LLM powered agents with enterprise data platforms
- Integrate agents with APIs and tools
- Integrate agents with operational workflows
- Lead agentic systems from proof of concept to production
- Orchestrate and coordinate agent workflows
Perks/Benefits
- Career Development Programs
- Career coaching
- Coaching
- Employee assistance programme
- Flexible working hours
- Hybrid work
- Referral bonus
- Training
- Wellbeing apps access
- Wellbeing programs
Skills/Tech-stack
APIs | AWS | Agent coordination | Agent systems | Azure | Cloud platform | Context window | Distributed Systems | Driven systems | Embeddings | Event Driven | Event Driven Systems | Function Calling | Google Cloud | Google Cloud Platform | Information Retrieval | LLM orchestration | Language Models | Large Language Models | Memory Management | Model Evaluation | Multi-Agent | Multi-Agent Systems | Observability | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Semantic similarity | Tokenization | Tool use | Tracing | Transformer Architecture | Vector Databases
Education
N/A
Roles
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