University of Maryland Center for Environmental Science · 2 weeks ago
IDEA Factory - Associate Director of Development & AI Systems Architect (LLM/RAG)
University of Maryland College Park
Full-time
Onsite
Lead/Staff, Director/Executive
$125K/yr - $155K/yr
5+ years expThe University of Maryland Center for Environmental Science is seeking an Associate Director of Development & AI Systems Architect to lead the architecture, design, and implementation of core LLM/RAG systems. This role is crucial for delivering scalable AI solutions that support mission-critical programs and involves significant influence over the technology stack.
Higher Education
No H1B
Responsibilities
Lead the architecture, design, and implementation of core LLM/RAG systems
Deliver a scalable, production-ready platform
Implement cutting-edge AI solutions that support mission-critical programs
Provide regular updates on technical progress and strategic recommendations
Qualification
Required
Master's in Computer Science, Machine Learning, Artificial Intelligence, or related field. Bachelor's degree with exceptional experience, 5+ years, will be considered
5+ years of professional experience in machine learning/AI, with extensive foundational experience in machine learning valued more highly than brief, recent-only LLM experience
Sedentary work performed in a normal office environment; exerts up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body
Ability to attend meetings both on and off campus
Deep knowledge of Python and advanced programming concepts
Experience with LLM pipeline construction (e.g., LangChain, LlamaIndex, Haystack)
Proven experience with LLM fine-tuning and model optimization
Expertise with ML frameworks like TensorFlow, PyTorch, or JAX
Experience with broader AI concepts including CNNs, transformers, and data classification
Proficiency with vector databases (Pinecone, Weaviate, Chroma, FAISS)
Experience with cloud platforms (AWS, Azure, Google Cloud) for ML workloads
Knowledge of MLOps practices and model deployment pipelines
Understanding of natural language processing and information retrieval systems
Programming Languages: Python
Familiarity with JavaScript/TypeScript for API integration
Experience with CUDA/GPU programming for model training
Preferred
Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field preferred
8+ years of professional experience in machine learning/AI, with extensive foundational experience in machine learning valued more highly than brief, recent-only LLM experience
Experience with SQL, Java, and statistical languages like R or Julia
Knowledge of database concepts and interaction with AI systems (PostgreSQL, MongoDB, Redis)
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with distributed computing frameworks (Spark, Ray)
Experience in educational technology or higher education settings
Publications or contributions to open-source AI projects
Company
University of Maryland Center for Environmental Science
UMCES are Maryland's premier research institution aimed at advancing scientific knowledge of the environment.
201-500 employees
Funding
Current Stage
Growth StageRecent News
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