UPSD Lead AI Architect

CAP UPS Capital Corp; United States; Hybrid; USD 160,000 - 210,000; Full time

Job summary

UPS is seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role focuses on LLM-powered applications, agentic AI, RAG architectures, and cross-functional technical leadership.

Responsibilities include building scalable RESTful APIs, integrating with knowledge graphs and multi-agent systems, and deploying on cloud platforms like GCP Vertex AI and Azure ML. Hybrid work in Alpharetta, GA is available.

Qualifications

• 3+ years of experience in traditional AI methods including deep learning, supervised and unsupervised learning, and NLP techniques.
• Production experience building and deploying LLM-powered applications, including prompting, context engineering, evaluation frameworks, RAG pipelines, and vector database integration.
• Hands-on experience with agentic frameworks: Hugging Face Transformers, LangChain, LlamaIndex, CrewAI, and AutoGen.

Responsibilities

• Designs, develops, and deploys production LLM-powered applications with prompt/context engineering, RAG, and agent orchestration.
• Integrates LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
• Architects agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.

Skills

Python

LLM deployment

RAG pipelines

LangChain

Cloud platforms

Kubernetes

REST APIs

Prompt engineering

Team leadership

Education

Bachelor's degree in Computer Science

Tools

Hugging Face Transformers

Pinecone

Weaviate

Milvus

FAISS

Docker

Job description

Job Description: Position Summary:

We are seeking a Lead AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The ideal candidate will have expertise in LLM-powered applications, agentic AI, RAG architectures, traditional machine learning, and cloud-based AI platforms, while providing technical leadership across cross-functional teams.

Key Responsibilities:

• 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.

Qualifications:

• 3+ years of experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and NLP techniques (e.g., tokenization, named entity recognition, text classification, sentiment analysis).
• 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.

Basic Qualifications:

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.

This role is located in Alpharetta, GA with a hybrid work schedule. In office Monday- Thursday. Employee Type: Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Other Criteria: UPS is an equal opportunity employer. UPS does not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity or any other characteristic protected by law.

In 1907, two teenage entrepreneurs in a Seattle basement started with a $100 loan and created what would become the world’s largest package delivery service. Today, operating in more than 220 countries and territories, UPS is committed to moving our world forward by delivering what matters. UPS and its more than 500,000 UPSers around the globe are a transportation and logistics leader, offering innovative solutions to customers, big and small. UPS understands and appreciates its responsibility to help build safe, stronger and more resilient communities founded on justice and economic opportunity for all, supported by a healthy, sustainable global environment.