AI Solution Architect

The ideal candidate will be responsible for collaborating with multiple business units to understand architecture needs. This position requires someone who is comfortable overseeing the entire architecture development process from inception to completion. Key responsibilities include:

• Designing and deploying AI, ML, and Generative AI solutions at scale across diverse business domains.
• Translating business requirements into scalable technical architectures.
• Developing Conversational AI systems, including intelligent chatbots and virtual assistants powered by Large Language Models (LLMs).
• Building and fine-tuning LLMs, including prompt engineering, Retrieval-Augmented Generation (RAG), and agentic workflows.
• Developing robust machine learning pipelines using Azure ML or AWS SageMaker.
• Utilizing cloud-native data storage and processing solutions, such as Azure Blob Storage, Tables, Queues, and Amazon S3.
• Deploying and operationalizing Azure Foundation Models and Azure OpenAI services in production environments.
• Implementing containerization and DevOps practices, including Docker and CI/CD pipelines, for scalable and automated deployments.
• Writing clean, efficient, and maintainable code for AI/ML development, with advanced programming skills in Python.