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. Join us as a Senior AI Engineer. 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 and develop secure, scalable, and user-friendly AI applications and agents across front-end and back-end environments. Integrate AI technologies and frameworks, including LLMs, RAG pipelines, vector databases, and MCP. Design and optimize prompts and AI workflows to support effective agent performance and accurate task execution. Collaborate with technical teams to integrate AI solutions with data, infrastructure, systems, and operational workflows. Test and troubleshoot AI applications and agents to ensure accuracy, reliability, and functional performance. Research and evaluate emerging AI technologies, frameworks, and tools to improve solutions and development practices.