Hybrid Lead AI Architect for Enterprise LLM Solutions

UPS; Alpharetta (GA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

UPS in Alpharetta, GA seeks a Lead AI Architect to design, develop, and deploy enterprise-scale AI solutions, including LLM-powered apps, RAG, and agentic workflows. The role requires collaboration with data scientists, engineers, and business stakeholders to meet organizational KPIs.

The candidate should have hands-on experience with LangChain, Hugging Face Transformers, Docker, Kubernetes, and cloud platforms (GCP Vertex AI, Azure ML). Strong communication is essential.

Qualifications

• 3+ years of experience in AI including deep learning, ML, and NLP.
• Production experience building and deploying LLM-powered applications, including prompting, RAG, evaluation.
• Hands-on with agentic frameworks: Hugging Face Transformers, LangChain, LlamaIndex, CrewAI, AutoGen.
• Strong Python skills with Pandas, PySpark, TensorFlow, XGBoost, and production-grade apps.
• Experience designing RESTful APIs and microservices.
• Experience with cloud ML platforms (GCP Vertex AI, Azure ML) and vector DBs (Pinecone, Weaviate, Milvus, FAISS).
• Knowledge of Docker, Kubernetes and web tech (React, Golang).
• Knowledge of LoRA/PEFT and prompt tuning.
• Familiarity with knowledge graphs and LLM integration.
• Excellent communication and ability to translate AI concepts to non-technical stakeholders.
• Bachelor's degree in CS/Math/Stats or related field.

Responsibilities

• Design, develop, and deploy production LLM-powered applications with prompt/context engineering and RAG.
• Integrate LLMs with knowledge graphs and multi-agent systems.
• Architect agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
• Build scalable RESTful APIs and microservices exposing AI capabilities.
• Design vector DB schemas and embeddings pipelines (Pinecone, Weaviate, Milvus, FAISS).
• Apply traditional AI methods including supervised/unsupervised learning and NLP.
• Develop and execute model evaluation frameworks for safety and performance.
• Apply parameter-efficient tuning (LoRA, PEFT) to foundation models.
• Leverage cloud ML platforms (GCP Vertex AI, Azure ML) and Docker/Kubernetes for deployment.
• Collaborate with data scientists, engineers, and business stakeholders to align with KPIs.
• Document architectures, integration patterns, and deployment strategies.

Skills

Python programming

Communication

Leadership

Cross-functional collaboration

Education

Bachelor's degree in Computer Science/Math/Statistics

Tools

Pandas

PySpark

TensorFlow

XGBoost

RESTful APIs

Docker

Kubernetes

LangChain

LlamaIndex

CrewAI

AutoGen

Hugging Face Transformers

Pinecone

Weaviate

Milvus

FAISS

Job description

UPS in Alpharetta, GA seeks a Lead AI Architect to design, develop, and deploy enterprise-scale AI solutions, including LLM-powered apps, RAG, and agentic workflows. The role requires collaboration with data scientists, engineers, and business stakeholders to meet organizational KPIs.

The candidate should have hands-on experience with LangChain, Hugging Face Transformers, Docker, Kubernetes, and cloud platforms (GCP Vertex AI, Azure ML). Strong communication is essential.