Senior DevOps Engineer, AI, Automation, & Data Engineering
Boston University•Boston, MA
•$150,400 - $210,600•Hybrid
About The Position
Boston University is hiring a Senior DevOps Engineer for its AI and Data Engineering team. The role supports high-priority university initiatives by building and operating AI and data platforms and helping deliver AI applications and agents. It involves work across infrastructure, model management, and application development in a hybrid environment, with collaboration among engineering teams, faculty, students, and technical teams. The work includes modern AI technologies and workflows such as agentic AI frameworks, LLMs, RAG, MCP, and A2A.
Responsibilities
- Design and maintain scalable AI and data platforms across cloud, on-premise, and hybrid environments.
- Lead DevOps architecture, deployment strategies, automation, and infrastructure standards.
- Build and optimize containerized environments using Kubernetes, Docker, AWS ECS, and EKS.
- Develop and support AI applications, agents, integrations, and data pipelines in partnership with engineering teams.
- Support emerging AI technologies and workflows, including RAG, MCP, and A2A.
- Host, configure, and fine-tune LLM and SLM models for university use cases.
- Establish monitoring, observability, performance, capacity, and reliability practices for AI and data platforms.
- Ensure platforms and infrastructure meet security, compliance, governance, and operational standards.
- Identify and implement technical improvements that strengthen reliability, scalability, efficiency, and platform maturity.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
