AI Platform Architect & Developer

Role Summary: This is a highly technical role responsible for architecting, building, and integrating the company’s AI platform and systems. The scope spans AI data platform planning, system architecture design, predictive model development and optimization, agentic AI integrated with workflow automation, foundational AI infrastructure deployment, and long-term system maintenance and evolution. Key Responsibilities: Define the long-term AI architecture strategy for the organization. Design and build the database and AI data platform to support data mining, analytics and model training. Build and integrate automation platforms (e.g., n8n) with AI systems. Build and deploy agentic AI workflows using tools like LangChain, LangGraph, and CrewAI. Develop predictive AI models for core use cases using Python and ML libraries. Collaborate with internal teams to deploy solutions via APIs, containers (Docker), and CI/CD pipelines. Continuously evaluate new LLM tools, APIs, and model deployment practices (e.g., PEFT, LoRA).