GenAI Architect
Primary Skills
-
GenAI & Agentic AI Expertise:
- Development of generative & predictive AI models (NLP, Computer Vision)
- Agentic workflows, multi-agent systems, reinforcement learning
- Frameworks: LangChain/LangGraph, Crew AI, Semantic Kernel, OpenAI Agentic SDK
-
Programming & ML Libraries:
- Python, SQL
- TensorFlow, PyTorch, scikit-learn
-
Prompt Engineering:
- Zero-shot, few-shot, chain-of-thought techniques
-
Cloud & Big Data:
- AWS, Azure, GCP
- Databricks, PySpark
Secondary Skills
- API Architecture & Integration (REST, JSON, Authentication, Rate Limits)
- Deployment Tools: Azure DevOps, Docker, AWS ECS/EKS/Fargate
- CI/CD: AWS CloudFormation, CodeDeploy
- Data Engineering: SQL & NoSQL (MySQL, MongoDB, Redis)
- Monitoring, Logging, Security & Compliance
Key Responsibilities
- Design & implement GenAI and predictive models
- Develop agentic systems and autonomous AI agents
- Architect and integrate AI applications with APIs
- Deploy and maintain AI models in production
- Research emerging AI trends and integrate new tools
- Lead demos, proposals, and mentor junior team members
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