Remote AI Architect

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
• Bachelors 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.