Description

Job Description: 

• Design end-to-end AI/ML architecture including data ingestion, model training, inference, and monitoring systems

• Define technical standards, best practices, and governance frameworks for AI/ML implementations

• Architect scalable GenAI solutions including LLM deployments, RAG systems, and multimodal AI applications

• Lead architectural reviews and provide technical guidance to development teams

• Design integration patterns between AI services and existing enterprise systems

• Evaluate and recommend AI/ML technologies, platforms, and vendor solutions

• Create technical roadmaps aligned with business objectives and AI strategy

• Assess technical feasibility of AI use cases and provide effort estimations

• 8+ years of experience in software architecture with 3+ years focused on AI/ML systems

• Strong experience with cloud platforms (Azure preferred) and distributed systems architecture

• Deep understanding of LLM architectures, transformer models, and generative AI patterns

• Experience with MLOps tools and practices (Azure ML, Docker, Kubernetes)

• Proficiency in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)

• Experience with Azure AI Foundry, LangChain, LangGraph, and Copilot Studio

• Strong technical leadership and mentoring capabilities

• Experience with microservices architecture, API design, and event-driven systems

Key Skills

Education

Any Graduate