Agentic Engineer & AI Systems Architect
Brad Ross
Brad Ross is a hands-on AI architect and agentic systems engineer who works at the intersection of theory, execution, and education. With over 20 years in software development and machine learning, and as a teaching fellow at Harvard, Brad specializes in designing explainable, modular AI systems for enterprise, startups, and academic settings. His work is fast, scalable, and always leaves teams smarter than before.
Speciality
Agentic Engineer & AI Systems Architect
Personal info
Brad Ross
Build Agentic Systems
Brad will teach participants how to build working agentic systems—modular, explainable, and effective—from scratch. He will share the same frameworks and live-coded methods used to deliver MVPs in weeks, not quarters. Expect deep dives into AI engineering, symbolic reasoning, and how to reduce complexity in production-grade systems.
How Brad Works
Brad leads with clarity and code. His method blends live prototyping, deep system documentation, and AI pair programming. He operates as a fractional CTO, educator, and engineer in one—guiding teams through both strategic planning and hands-on implementation.
Learn agentic development by doing; through live, scaffolded code sprints.
Understand how to structure and document AI systems to scale safely.
Build real AI tools that fit their own product or org context.
Access advanced thinking on symbolic reasoning and hybrid architectures.
Leave with the skills and frameworks to become confident AI builders and collaborators.
Brad brings his full stack to the table—from boardroom guidance to backend delivery. Every learner walks away empowered.
