AI Agentic Agent Architecture

At IT Curves, we build the intelligent software solutions driving the future of public transit and transportation logistics. We don't just use AI—we are actively deploying practical Agentic AI ecosystem frameworks that empower human operators to make faster, smarter decisions. Our technology streamlines complex transit networks, reduces operational friction, and elevates the rider experience for millions of people. The Opportunity We are seeking a visionary AI Agentic Systems Architect for a full-time, on-site role at our Gaithersburg, MD headquarters. In this role, you will be a part of architectural design and development of our next-generation, multi-agent AI systems. You will build supervisory and orchestrator agent networks designed to fully automate and optimize complex transit workflows—spanning reservation logic, real-time rider support, dynamic ride-sharing algorithms, and automated back-office route planning. Key Responsibilities Learn the field requirements and analyze the clients workflow processes, determine the agentic agent application to each part of work flow and supervisory agent to coordinate the multiple agents actions. Architect Multi-Agent Systems: Design scalable, fault-tolerant orchestrator and supervisor agent frameworks to automate end-to-end transportation workflows. Develop Intelligent Behaviors: Implement advanced decision-making logic, guardrails, and tool-use capabilities within AI agents. Lead R&D Initiatives: Research, prototype, and benchmark frontier AI models, agentic workflows, and emerging machine learning techniques. Optimize At Scale: Refine and tune data pipelines and multi-agent routing algorithms to maximize low-latency performance. Collaborate Cross-Functionally: Work directly with engineering, product, and data infrastructure teams to deploy enterprise-grade AI production environments. Qualification Deep AI Expertise: Strong mastery of Machine Learning, LLM orchestration frameworks (e.g., LangChain, AutoGen, CrewAI), and Agent-based modeling. Production Coding Skills: High proficiency in modern backend stacks, prioritizing Python alongside robust experience in Java or C++. Systems Design Mastery: Proven hands-on experience architectural design patterns, distributed systems, and the full software development life cycle (SDLC). Cloud & Data Fluency: Familiarity with cloud infrastructure (AWS/Azure/GCP), containerization, and data architecture best practices. Advanced Academic Foundation: A Master’s degree or PhD in Computer Science, Artificial Intelligence, Data Science, or a deeply quantitative field. Industry Advantage: Prior exposure to Intelligent Transportation Systems (ITS), transit routing software, or heavy logistics data is a massive plus. Recent Graduate with high impact school project in related area welcome to apply. Company is willing to sponsor candidate with OPT for work visa. #J-18808-Ljbffr IT Curves