SENIOR AI DEVOPS SPECIALIST, IS&T Applications
About The Position
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, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence. You will join as the Senior AI DevOps Specialist where you will ensure the scalable deployment, monitoring, and support of AI applications, agents and models, while also contributing to development efforts in collaboration with other full-stack developers. You will focus on managing infrastructure across on-premises, cloud, and hybrid environments, integrating containerization technologies, and supporting advanced AI workflows. This position is primarily remote with periodic in-person meetings on campus as a member of the AI Engineering team, you will handle some of the university's highest priority initiatives. You'll bring your expertise to a vibrant environment that values ingenuity 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. Be part of the team that will define what's possible in AI for academia and beyond. This position is primarily remote with periodic in-person meetings on campus.
Requirements
- 8+ years of applicable experience.
- Degree in Computer Science, Software Engineering, Systems Engineering, or related field.
- Expertise in containerization (Docker, Kubernetes, AWS ECS) and multi-environment deployment (on-premise, cloud, hybrid).
- Experience with hosting and fine-tuning LLM/SLM models.
- Development experience in modern programming languages (e.g., Python, JavaScript, or similar) with familiarity in AI technologies and frameworks (e.g., prompt engineering, RAG, embeddings along with more recent innovations like MCP and A2A).
- Experience with DevOps practices, scalable architectures, and modern security standards.
Responsibilities
- Deployment of AI Applications, Agents & Related Infrastructure
- Collaborative Development Support
- AI Model Management & Fine-Tuning
- Infrastructure Monitoring & Optimization
- Security, Compliance, & Continuous Improvement
Benefits
- Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays.
- Retirement: University-funded retirement plan with full vesting after 2 years of eligible service.
- Tuition Assistance Program: Competitive tuition assistance program for yourself and family members.
- Check out https://www.bu.edu/wellness/ and https://www.bu.edu/hr/part-time-employee-perks/ for more information!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Educational Services
Number of Employees
5,001-10,000 employees
