Are you a visionary architect who thrives at the intersection of AI innovation cloud engineering and enterprise data
We re seeking a highly skilled AI & Data Solutions Architect to lead the design and delivery of cutting-edge GenAI and machine learning solutions. This is a unique opportunity to work with the latest in LLMs cloud AI ecosystems and NVIDIA GPU-powered architectures all while shaping real-world impact in telecom and beyond.
Key Responsibilities:
- Design and implement GenAI solutions.
- Develop and optimize prompts.
- Build and deploy AI models.
- Ensure ethical considerations and responsible AI practices. Stay updated on the latest GenAI advancements
- Integrate with various LLM Services and other cloud AI and non-AI services
- Utilize machine learning tools for design build and deploy for model training and deployment like Azure Machine learning or similar tools
Requirements
Must Have Skills:
- Strong understanding of AI/ML concepts
- Proficiency in Python (or other relevant languages).
- Experience with prompt engineering- Knowledge of LLMs and their applications.
- Familiarity with MLOps principles
- Understanding of Nvidia GPU H200 types to design operate and manage
- Basic subject matter expertise of telecom and prior work experience in the area
- Deep understanding of Azure / AWS or GCP cloud platform.
- Expertise in relevant cloud services and tools.
- Knowledge of Cloud (AWS/Azure or GCP) data storage and processing services
Good to Have Skills:
- Ruby on rails
- Python
- Kubernetes docker
- Java
- Nvidia H200 GPU handling
- Azure DevOps
- Azure cosmos DB
- Docker & Kubernetes containerization
Apply now and bring intelligence to infrastructure and innovation to life.
Must Have Skills: Strong understanding of AI/ML concepts Proficiency in Python (or other relevant languages). Experience with prompt engineering- Knowledge of LLMs and their applications. Familiarity with MLOps principles Understanding of Nvidia GPU H200 types to design, operate and manage Basic subject matter expertise of telecom and prior work experience in the area Deep understanding of Azure / AWS or GCP cloud platform. Expertise in relevant cloud services and tools. Knowledge of Cloud (AWS/Azure or GCP) data storage and processing services Good to Have Skills: Ruby on rails Python Kubernetes , docker Java Nvidia H200 GPU handling Azure DevOps Azure cosmos DB Docker & Kubernetes containerization Apply now and bring intelligence to infrastructure and innovation to life.