AI ML Architect

Your Role :

• Define and own the end-to-end architecture for enterprise-scale GenAI and AI solutions.
• Design reference architectures, reusable patterns, and best practices for integrating GenAI into business applications.
• Collaborate with domain experts, data scientists, and developers to align business needs with scalable AI architectures.
• Select and evaluate LLMs, vector databases, and orchestration frameworks based on performance, compliance, and cost.
• Architect RAG pipelines, agentic workflows, and multi-agent ecosystems for production-grade implementations.
• Ensure security, privacy, and governance frameworks are embedded into AI systems from inception.
• Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) and ensure scalability and performance optimization.
• Guide teams in model lifecycle management, including deployment, monitoring, retraining, and drift handling (MLOps).
• Evaluate and recommend tools, frameworks, and protocols such as MCP, LangChain, and LangGraph for interoperability.
• Stay updated with advancements in GenAI, AI regulations, and enterprise adoption trends, translating insights into strategic roadmaps.

Required Skills and Qualifications :

Skills Required

Python, Pytorch, Tensorflow