We are seeking an experienced AI Architecture Developer to design, implement, and maintain scalable, secure, and low-latency systems supporting AI/ML/OR models and agentic workflows. The role requires expertise in platform engineering, microservices, and integration with Snowflake, Azure, and LLM technologies.
Responsibilities
- Architect and optimize data pipelines and systems for AI/ML/OR model training, evaluation, and deployment.
- Develop and maintain containerized microservices (Docker, Kubernetes) and integrate AI/OR algorithms into scalable architectures.
- Leverage Snowflake (Snowpark, External Functions) and Azure (Synapse, AKS, Data Factory) for secure and efficient data processing.
- Work with LLM frameworks (OpenAI, LangChain) to support agentic workflows and modular data access.
- Ensure high performance, scalability, and security across hybrid cloud environments.
Required Skills
- 5+ years of experience in AI/ML/OR platform engineering or architecture roles.
- Proficiency in Python, SQL, and microservices frameworks (Flask/FastAPI/C++).
- Experience with Snowflake, Azure (Synapse, AKS, Blob), and containerization (Docker, Kubernetes).
- Familiarity with LLM integrations and orchestration frameworks (LangChain, Semantic Kernel).
- Strong focus on scalable, secure AI/ML model deployment.
Preferred Skills
- Experience with agentic AI workflows and serverless functions.
- DevOps experience with CI/CD pipelines.