UPSD Lead AI Architect

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• Designs, develops, and deploys production LLM-powered applications incorporating prompt engineering, context engineering, Retrieval Augmented Generation (RAG), and agent orchestration frameworks.
• Integrates large language models with knowledge graphs and multi-agent systems to solve complex, multi-step business problems.
• Architects and implements agentic workflows using frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
• Builds and maintains scalable RESTful APIs and microservices to expose AI capabilities across the organization.
• Designs vector database schemas and manages embeddings pipelines using platforms such as Pinecone, Weaviate, Milvus, or FAISS.
• Applies traditional AI methodologies including supervised and unsupervised learning, deep learning, and NLP techniques such as tokenization, named entity recognition, text classification, and sentiment analysis.
• Develops and executes model evaluation frameworks to assess output quality, safety, and performance of deployed AI systems.
• Applies parameter-efficient fine-tuning methods including prompt tuning, LoRA, and PEFT to adapt foundation models for domain-specific applications.
• Leverages cloud ML platforms (GCP Vertex AI, Azure ML) and containerization tools (Docker, Kubernetes) to operationalize and scale AI workloads.
• Collaborates with data scientists, engineers, and business stakeholders to gather requirements, define scope, and ensure AI solutions align with organizational KPIs and decision-making needs.
• Documents AI system architectures, integration patterns, and deployment strategies to support knowledge sharing and organizational learning.
• Production experience building and deploying LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, RAG pipelines, and vector database integration.
• Hands-on experience with agentic frameworks: Hugging Face Transformers, LangChain, LlamaIndex, CrewAI, and AutoGen.
• Strong proficiency in Python with deep experience in Pandas, PySpark, TensorFlow, and XGBoost; experience building production-grade applications required.
• Extensive experience designing, developing, and deploying RESTful APIs and microservices.
• Experience with cloud ML platforms (GCP Vertex AI, Azure ML) and vector databases (Pinecone, Weaviate, Milvus, FAISS).
• Knowledge of containerization and orchestration tools (Docker, Kubernetes) and/or full-stack development experience (React, Golang).
• Knowledge of prompt tuning, fine-tuning, and parameter-efficient adaptation methods (LoRA, PEFT).
• Familiarity with knowledge graph construction and integration with LLM and multi-agent systems.
• Strong communication and storytelling skills with the ability to present complex AI concepts to non-technical stakeholders.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; international equivalent or equivalent job experience accepted.
• UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
• Must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer.

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