Senior AI Engineer AI, Automation, & Data Engineering

Are you ready to challenge the status quo and help shape the future of higher education and beyond? At Boston University, we are assembling a world-class AI Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies—Agentic AI frameworks, LLMs, RAG, MCP, A2A, scalable AI architectures—and develop solutions at the forefront of modern artificial intelligence. As a member of the AI Engineering team, you will tackle some of the university's highest priority initiatives while collaborating with our renowned faculty, brilliant students, and industry-leading technical teams. You'll bring your expertise to a vibrant environment that values ingenuity, agility, and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize university operations but also become models of innovation for institutions worldwide. Join us to make history, develop transformative technology, and work alongside some of the greatest minds in academia and technology. If you thrive in a fast-paced, high-performing environment and want to leave your mark on projects with real-world impact, we encourage you to apply for this exciting opportunity! Be part of the team that will define what's possible in AI for academia and beyond. You Will: Design, develop, and deploy innovative AI applications and agents that improve operational efficiency and drive strategic outcomes across the University. Build secure, scalable full-stack solutions, integrating modern AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and Model Context Protocol (MCP). Engineer and optimize prompts, workflows, and AI-driven experiences to maximize agent performance, accuracy, and business value. Collaborate with cross-functional technical teams, including Data Engineering, Automation Engineering, and IT Infrastructure, to deliver seamlessly integrated solutions. Conduct rigorous testing, ensure high-quality delivery, and stay at the forefront of emerging AI technologies to continuously enhance capabilities and development practices.