UPSD Lead AI Architect
At a glance
Senior AI Engineering role at Hcmportal. SUPPLY CHAIN SOLUTIONS · full-time · no salary stated · we estimate $161,745–$225,300 across the United States.
Hcmportal has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build production LLM applications with prompt and context design, RAG pipelines, and coordinated AI agents
- Use knowledge graphs and multiple AI agents to address complex, multi-step business problems
- Create REST APIs and microservices, then design vector data structures and embedding workflows
- Check deployed AI output for quality, safety, and performance, and adapt foundation models for specific uses
- Gather needs with technical and business partners, document system designs, and connect AI work to organizational KPIs
What you bring
- At least three years applying deep learning, supervised or unsupervised methods, and NLP techniques
- Production experience delivering LLM applications with RAG, agent designs, evaluation methods, and vector database integration
- Hands-on experience with the named agent frameworks, strong Python skills, and production application development
- A bachelor's in computer science, mathematics, statistics, or a related area, or equivalent experience
Who this fits
This senior role suits someone who can lead AI architecture work and explain complex technical ideas to nontechnical partners. The position is based in Alpharetta, Georgia, with in-office work Monday through Thursday. You must be a U.S. citizen or national, a permanent resident, or authorized to work in the U.S. for this employer.
From the employer
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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
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:
PermanentUPS 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.
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.