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python kubernetes tensorflow pytorch langchain📋 Description
- Define enterprise GenAI architecture strategy and roadmap.
- Design modular, scalable GenAI and agentic patterns.
- Build secure, deployable architectures across enterprise.
- Lead cross-functional teams from concept to production.
- Mentor AI engineers and architects; drive technical decisions.
- Partner with product and security to ensure governance.
🎯 Requirements
- Bachelor's or Master's in CS/AI or related field.
- 10+ years software architecture; 2-3 years GenAI/ML.
- Expert in foundation models and Transformers.
- Hands-on with LangChain, LangGraph, CrewAI, AutoGen; Python.
- Cloud experience (AWS, Azure, GCP) and ML services.
- MLOps tools (MLflow, Kubeflow) and vector databases.
- Excellent leadership and communication.
🎁 Benefits
- Medical, dental, and vision insurance.
- 401(k) plan with company match.
- Tuition reimbursement.
- Hybrid work culture and growth opportunities.
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