Remote AI Architect needs 10+ years’ experience enterprise-wide AI programs or platform buildouts. AI Architect requires: • Strong understanding of data governance, privacy, security, and model risk management. • Prior experience with large-scale transformation programs. • equired Qualifications • Bachelor’s degree in Computer Science, Engineering, or a related technical field. • 5+ years of experience in application development, engineering, or solution delivery roles. • 1+ years of hands-on experience in AI/ML engineering, data science, or AI solution architecture. • Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure AI Foundry, Copilot Studio/Agent Builder, or comparable generative AI ecosystems). • Deep expertise in cloud platforms, particularly Microsoft Azure, and modern architectural patterns (microservices, event-driven architectures, API-first design). • Proficiency in one or more of the following: Python, Azure Machine Learning, or related AI/ML tooling. • Experience with MLOps/LLMOps ecosystems, including tools such as MLflow, Kubernetes, LangChain, vector databases, and feature stores. • Strong hands on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools. • Background in RAG systems, model fine tuning, embeddings, vector storage, and retrieval optimization. AI Architect duties: Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability. • Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling. • Support development teams on model selection, training pipelines, prompt engineering, fine tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies. • Mentor engineers, analysts, and product teams on AI best practices.