AI Solution Architect

Role: AI understanding Solution Architect

Location: Princeton, NJ

Programming Expertise: Strong hands-on proficiency in:

Python: The primary language for AI/ML development (with frameworks like Django, Flask, or FastAPI).

React JS: For building dynamic and data-driven user interfaces.

Related Technologies: JavaScript/TypeScript, Node.js (often used for the backend), and database systems (SQL and NoSQL).

AI/ML Knowledge: Deep understanding of AI/ML concepts, including natural language processing (NLP), deep learning, generative AI, RAG architectures, and MLOps practices.

Cloud Proficiency: Experience with cloud platforms (AWS, Azure, or GCP) and related services, including containerization (Docker, Kubernetes) and CI/CD pipelines.

Architectural Skills: Proven experience in solution or system architecture, microservices design, API development (RESTful, GraphQL), and data architecture.

Soft Skills: Excellent problem-solving, analytical, leadership, and communication skills to effectively manage cross-functional teams and stakeholders.