Principal AI and GenAI - AI CoE

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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.

We are hiring a Staff AI & GenAI Engineer to join UPS’s ML Innovation and AI Center of Excellence. This is a hands‑on engineering role focused on designing, building, and operating production‑grade AI and GenAI systems at enterprise scale.

You will own the end‑to‑end engineering of medium‑ to large‑scale AI solutions—from system architecture and model integration through deployment, performance optimization, and reliability in production. The role requires deep understanding of AI/ML fundamentals, strong software engineering skills, and a proven track record of shipping and operating scalable AI systems across domains such as personalization, memory, diagnostics, representation, and reasoning. As a Staff‑level engineer, you will set technical direction, raise engineering standards, and collaborate closely with platform, product, and applied science teams to turn complex problems into durable, high‑impact solutions.

You will directly shape how AI is engineered, deployed, and scaled across UPS, enabling reliable, real‑world AI capabilities that impact millions of customers and core business operations.

This role is a deeply technical, hands‑on position. While it operates at Senior Staff scope, it does not involve people management. Success is defined by technical execution, system ownership, and sustained production impact.

• Strong ML and AI expertise and deep understanding of the ML and AI fundamentals including mathematics, architectures, representation and reasoning, generation/diffusion processes, and diagnostics
• Strong Computer Science algorithmic and theory knowledge, and strong statistical fundamentals.
• 10+ years of experience designing, building, deploying, and maintaining medium to large-scale ai/ml systems in production environments (not just strategic or advisory roles).
• 5+ Years of experience in at least one domain of application for ML: NLP, Computer Vision, reinforcement learning. A deep understanding of the applications, challenges, and opportunities in these domains.
• Ability to distill and formulate a vision and requirements from a vague desiderata description of a project outcome
• Excellent leadership and communication skills (verbal and written) with the ability to effectively advocate technical solutions to research scientists, engineering teams as well as business audiences.
• Good programming skills in python, java and c, frameworks like Pytorch, Keras, or related high-level languages

• Demonstrated hands‑on ownership of complex, production AI systems beyond design or oversight
• Experience personally leading critical technical execution, not just coordinating teams or projects
• Proven ability to debug, optimize, and stabilize large‑scale systems under real production pressure
• Track record of driving cross‑team technical outcomes through code, architecture, and operational leadership
• Experience operating in environments where reliability, security, and performance directly impact core business operations

• Design, build, deploy, and maintain medium to large production AI/GenAI systems, taking full ownership of engineering, deployment, and operationalization.
• Provide technical leadership and mentorship to data scientists and engineers across various teams, fostering a culture of innovation and excellence in AI/GenAI, even without direct managerial authority.
• Promotes and evangelizes best practices on data governance, data stewardship, data science, and ethical AI to…