AI Architecture Developer

About This Role

Develop AI architectures and scalable data pipelines to support agentic AI applications. This role involves designing and implementing microservices and containerized solutions using various AI/ML technologies.

Responsibilities

• Architect and maintain scalable, secure, and low-latency data pipelines and systems to support agentic AI applications
• Build and optimize data architectures to support AI/ML/OR (Operations Research) model training, evaluation and deployment
• Integrate with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel) and support modular data access by multiple agentic processes
• Define and implement modular microservice and containerized solutions using Docker, Kubernetes, and Snowflake Container Services
• Develop service-layer architectures (RESTful APIs, server services, and Snowpark applications) for AI/OR algorithms
• Ensure scalability, security, and performance in hybrid data environments across Snowflake, Azure Synapse, and Blob Storage

Requirements

• 5+ years of experience in architecture or platform engineering roles involving AI, ML, or OR models
• Proficiency in Python, SQL, and container-based microservices (Flask/FastAPI/C++ server)
• Experience with Snowflake (Snowpark, External Functions, Container Services) and Azure (Synapse, AKS, Data Factory, Blob)
• Familiarity with LLM integration (OpenAI, Azure OpenAI, LangChain) and agentic workflows

Qualifications

• 5+ years of experience in architecture or platform engineering roles involving AI, ML, or OR models.

Skills

* Required skills