UPSD Lead AI Architect

United Parcel Service of America, Inc. • $125K — $150K *
Savannah, GA 31419In-Person
Enterprise Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 3+ years in traditional AI methodologies including deep learning and NLP techniques.
  • Production experience with LLM-powered applications and RAG pipelines.
  • Hands-on experience with agentic frameworks like Hugging Face Transformers and LangChain.
  • Strong proficiency in Python, with experience in Pandas, PySpark, TensorFlow, and XGBoost.
  • Extensive experience in designing and deploying RESTful APIs and microservices.
  • Familiarity with cloud ML platforms (GCP Vertex AI, Azure ML) and vector databases.
  • Knowledge of containerization tools (Docker, Kubernetes) and/or full-stack development.

Responsibilities

  • Design and deploy LLM-powered applications using prompt and context engineering.
  • Integrate large language models with knowledge graphs to solve complex business problems.
  • Architect agentic workflows using frameworks like LangChain and Hugging Face Transformers.
  • Build and maintain scalable RESTful APIs and microservices for AI capabilities.
  • Design vector database schemas and manage embeddings pipelines.
  • Develop model evaluation frameworks to assess AI system performance.
  • Collaborate with cross-functional teams to align AI solutions with organizational goals.

Benefits

  • Hybrid work schedule with in-office days Monday to Thursday.
  • Opportunity to work on cutting-edge AI technologies.
  • Collaborative environment with cross-functional teams.
  • Focus on professional development and knowledge sharing.
Full 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.

This role is located in Alpharetta, GA with a hybrid work schedule. In office Monday- Thursday.

Employee Type:
Permanent

About United Parcel Service of America, Inc.

United Parcel Service of America, Inc. Careers

There has never been a better time to join the global team at United Parcel Service of America, Inc. (UPS)—a leader in logistics and package delivery services.

Work You’ll Do

Join UPS’s industry-leading team to help drive innovation and operational excellence across one of the world’s most essential service networks. Transform logistics and global commerce with the best minds at UPS, leveraging cutting-edge technology and deep industry expertise. Lead from a unique position in the marketplace, at the intersection of technology, operational excellence, and customer service. Work with a global team of business and logistics experts to help clients and communities achieve their business goals and meet delivery needs. Collaborate with a dedicated team of over 480,000 professionals worldwide, making UPS not just the biggest, but also one of the most trusted names in the industry.

Introducing the UPS Professional Growth and Development Program

The program is designed to foster leadership and professional skills, helping employees master their career paths within UPS.

Do Innovative Work

Join one of the largest and most respected logistics networks in the world—480,000+ dedicated professionals at the intersection of technology, service, and innovation.

Drive Innovation and Growth

Deliver targeted solutions through a depth and breadth of logistics experience and innovation that’s second to none.

Be Part of a Great Team

Engage in a wide range of job opportunities utilizing UPS technology and harness the unparalleled capabilities, global scale, and comprehensive logistics strategy.

Future-proof Your Career

Advance your career with limitless opportunities supported by unmatched training, development, and certification programs.

Explore

Discover how UPS is moving towards smarter logistics solutions: [With Advanced Tracking Systems] UPS enhances package tracking capabilities, ensuring timely deliveries and customer satisfaction. Logistics management solutions position UPS as a leader in global commerce, providing robust tools essential for modern logistics needs.

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UPS’s commitment to diversity, equity, and inclusion is integral to building a stronger, more creative team that reflects the global communities it serves. Through diversity training and leadership development, UPS fosters an inclusive environment where all employees can thrive.

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Learn more about United Parcel Service of America, Inc.
Industry
Transportation
* Ladders Estimates

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