À propos de ce poste UPSD Lead AI Architect chez UPS
Before you apply to a job, select your language preference from the options available at the top right of this page.
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:
Design, develop, and deploy production LLM applications utilizing prompt engineering, context engineering, RAG, and agent orchestration.
Architect and implement agentic workflows using LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
Integrate LLMs with knowledge graphs and multi-agent systems to solve complex business problems.
Build scalable RESTful APIs, microservices, and vector database solutions (Pinecone, Weaviate, Milvus, FAISS).
Apply AI/ML techniques including deep learning, supervised and unsupervised learning, NLP, NER, text classification, and sentiment analysis.
Develop model evaluation frameworks to measure AI quality, safety, and performance.
Implement model adaptation techniques including prompt tuning, LoRA, and PEFT.
Leverage cloud platforms (Azure ML, Vertex AI) and container technologies (Docker, Kubernetes) to deploy and scale AI solutions.
Collaborate with business and technical stakeholders to align AI initiatives with organizational goals.
Document AI architectures, deployment patterns, and best practices.
Qualifications:
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent experience).
3+ years of experience in AI/ML, including deep learning, NLP, supervised and unsupervised learning.
Proven experience building and deploying LLM-powered applications, RAG pipelines, agent architectures, and evaluation frameworks.
Hands-on experience with LangChain, LlamaIndex, CrewAI, AutoGen, and Hugging Face Transformers.
Strong Python programming skills with experience in Pandas, PySpark, TensorFlow, and XGBoost.
Experience developing production-grade RESTful APIs and microservices.
Experience with Azure ML, Vertex AI, and vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
Knowledge of Docker, Kubernetes, and modern AI deployment practices.
Experience with prompt tuning, fine-tuning, LoRA, and PEFT methodologies.
Familiarity with knowledge graphs and multi-agent AI systems.
Excellent communication, presentation, and stakeholder management skills.
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.
