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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:
Company Overview
UPS (United Parcel Service) is a global leader in logistics, offering a broad range of solutions including the transportation of packages and freight, facilitation of international trade, and the deployment of advanced technology to manage business operations more efficiently. As part of our digital transformation journey, we are investing heavily in AI to drive innovation and operational excellence.
Position Summary
The AI Architect will be responsible for designing and overseeing the development of robust, scalable, and secure AI systems that align with UPS’s strategic business and technology goals. This role requires deep expertise in AI/ML frameworks, cloud platforms, software engineering principles, and enterprise architecture.
The ideal candidate is a strategic thought leader who can translate complex business needs into scalable technical solutions, mentor technical teams, and enforce best practices in model governance, MLOps, and responsible AI. This role also serves as a solution consultant to internal stakeholders, guiding the adoption and optimization of AI platforms and infrastructure.
Key Responsibilities
Strategic Architecture & AI Solution Design
Design and architect end-to-end AI and machine learning solutions, agentic AI including data pipelines, model training environments, and deployment strategies.
Define and maintain the AI architecture roadmap aligned with UPS’s digital transformation objectives.
Evaluate and select AI frameworks, platforms, and tools (e.g., TensorFlow, PyTorch, scikit-learn, IBM WatsonX, Vertex AI, Azure OpenAI).
AI COE & Platform Leadership
Serve as a key contributor to the AI Center of Excellence (COE), helping to implement enterprise-wide AI, standards, and reusable assets.
Lead implementation and integration of AI platform capabilities across IBM WatsonX, Google Vertex AI, and Azure AI Foundry to support scalable model development and deployment.
Partner with platform engineering teams to onboard applications, configure environments, and optimize infrastructure for AI workloads.
Cloud Resource & GPU Optimization
Assess and recommend cloud resource configurations including GPU, VCPU, and memory requirements for AI workloads.
Guide teams in selecting appropriate computing environments for training and inference, balancing performance, scalability, and cost.
Monitor and optimize resource allocation across hybrid cloud and edge deployments.
Solution Consulting & Stakeholder Engagement
Act as a solution consultant to business and technical stakeholders, translating complex requirements into actionable AI architecture plans.
Provide expert guidance on integrating AI into logistics systems and enterprise applications.
Lead technical discussions, architecture reviews, and platform onboarding sessions.
Governance, MLOps & Responsible AI
Develop and enforce best practices for code quality, reproducibility, model governance, and MLOps workflows using tools like MLflow, Kubeflow, Docker, and Kubernetes.
Ensure responsible AI practices, including fairness, explainability, and compliance with ISO 42001, NIST AI RMF, GDPR, and CCPA.
Participate in AI governance boards and architecture review processes to ensure alignment with enterprise standards.
Leadership & Innovation
Mentor and guide junior developers and data scientists on architectural principles and advanced AI techniques.
Stay current with the latest advancements in AI, machine learning, and cloud technologies to drive continuous innovation at UPS.
Qualifications
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
Experience
7–10 years of experience in enterprise software development or architecture.
Minimum 3–5 years of hands-on experience in AI/ML solution architecture.
Technical Skills
Proficiency in Python, Java, or C++.
Strong experience with machine learning frameworks: TensorFlow, PyTorch, scikit-learn.
Expertise in MLOps and orchestration tools: Docker, Kubernetes, MLflow, Kubeflow.
Deep understanding of cloud platforms: Azure, AWS, or Google Cloud, with experience in their AI/ML services.
Experience with big data tools (e.g., Apache Spark, Kafka) and building scalable data pipelines.
Strong understanding of GPU architecture, resource provisioning, and performance tuning for AI workloads.
Soft Skills
Excellent communication and interpersonal skills to engage with both technical and non-technical stakeholders.
Strong problem-solving capabilities and a forward-thinking mindset.
Demonstrated leadership abilities with a proven track record of mentoring technical teams.
What We Offer
Competitive salary and comprehensive benefits package.
Opportunity to work on transformative AI initiatives that shape the future of global logistics.
A collaborative, inclusive, and innovative work environment.
Professional development and long-term growth opportunities within a Fortune 50 company.
Grade: 30i
Last day to apply 9/5/25
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.