GenAI Architect
About The Position
We are seeking a highly skilled GenAI Architect with expertise in Generative AI and Agentic AI. The role involves developing generative and predictive AI models, designing agentic workflows, and implementing multi-agent systems. Proficiency in programming languages like Python and ML libraries such as TensorFlow and PyTorch is essential. The architect will also be responsible for prompt engineering, working with cloud platforms like AWS, Azure, and GCP, and leveraging big data technologies. Secondary skills include API architecture, deployment tools, CI/CD, data engineering, and ensuring security and compliance.
Requirements
- 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
- 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
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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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
