Senior AI Engineer, AI, Automation, & Data Engineering

Boston University • Boston, MA

7h

About The Position

Boston University is assembling an AI Engineering team to transform operations, drive innovation, and deliver AI applications and agents. The Senior AI Engineer will work on initiatives using technologies such as agentic AI frameworks, large language models (LLMs), retrieval-augmented generation (RAG), MCP, and A2A. The role collaborates with faculty, students, and technical teams to develop AI solutions for university operations and broader use.

The position involves building secure, scalable, user-friendly AI applications across front-end and back-end environments; integrating AI frameworks and data technologies; designing prompts and workflows; and testing and improving AI systems. The engineer will also research emerging technologies and collaborate on integration with university data, infrastructure, systems, and operational workflows.

Requirements

• Degree in Computer Science, Software Engineering, or a related field.
• At least 5 years of applicable work experience.
• Proficiency in full-stack AI development across front-end and back-end environments, including technologies such as Python, React, Vue, Node.js, TypeScript, APIs, databases, Git/GitHub, CI/CD, AI coding assistants, infrastructure as code, and containerization.
• Hands-on experience with prompt engineering, RAG, embeddings, and modern AI frameworks such as MCP and A2A.
• Knowledge of developing secure, scalable applications.

Responsibilities

• Design and develop secure, scalable, 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.

Benefits

• Paid time off and leave policy.
• Paid intersession break and 13 paid holidays.
• University-funded retirement plan with full vesting after 2 years of eligible service.
• Tuition assistance for employees and family members.
• Staff learning opportunities, including lunch-and-learn sessions and an extensive library of online courses.
• Opportunities to engage with peers at NERCOMP and EDUCAUSE events.
• Staff events arranged by the Fun Advisory Board (FAB).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior