Description

You will design end-to-end AI/ML architecture, covering data ingestion, model training, inference, and monitoring systems.

Responsibilities

• Architect scalable GenAI solutions, including LLM deployments, RAG systems, and multimodal AI applications.
• Define technical standards, best practices, and governance frameworks for AI/ML implementations.
• Lead architectural reviews and provide technical guidance to development teams.
• Design integration patterns between AI services and existing enterprise systems.
• Create technical roadmaps aligned with business objectives and AI strategy.

Required Skills

• 8+ years of experience in software architecture, with 3+ years focused on AI/ML systems.
• Strong experience with cloud platforms, specifically Azure.
• Deep understanding of LLM architectures, transformer models, and generative AI patterns.
• Experience with MLOps tools and practices, including Azure ML, Docker, and Kubernetes.
• Proficiency in Python and familiarity with AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Experience with Azure AI Foundry and LangChain/LangGraph concepts.
• Experience with microservices architecture, API design, and event-driven systems.

Key Skills

Education

Any Graduate