UPS

Principal for AI and GenAI - AI CoE

US - UPS TECHNOLOGY HEADQUARTERS & DATACENTER (NJRAR) Full time

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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:

Principal AI and GenAI – AI Center of Excellence (CoE) 

 

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.

 

Why this role matters: 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.

 

Description 

 

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.

 

QUALIFICATIONS 

Minimum Requirements: 

  • 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 

 

Preferred Qualifications 

  • 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

RESPONSIBILITIES 

  • 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 internal and external customers, acting as a key technology evangelist for AI/GenAI capabilities across the enterprise 
  • Serve as a core member of the AI Center of Excellence, driving AI adoption, setting standards, and providing expert consultation across business units. 
  • Communicates verbally and in writing to business customers and senior leadership team, including regular interaction with the CDTO, CTO, and other C-level executives, educating them about our systems, as well as sharing insights and recommendations. 
  • Provides expertise in the execution of advanced analytics solutions that addresses specific challenges across the organization. 
  • Works with internal and external data science teams to identify appropriate models/algorithms that solve predictive and prescriptive requirements that can be integrated to improve current processes, drive better insights, increase profits, and develop new strategies for products and services. 
  • Identifies and recommends new opportunities to leverage data as a strategic asset to solve business problems. 
  • Identifies, explores, and recommends emerging tools and technologies that will support the acceleration of the data pipelines and the end-to-end data science lifecycle to meet current and future business requirements. 
  • Defines and identifies roadmaps to increase opportunities and efforts that move the organization from descriptive to predictive and prescriptive analytics. 
  • Acts as SME on UPS business processes, data, and advanced analytics capabilities to scope problems, data required to solve problems, model, and available frameworks on predictive and prescriptive analytic solutions internally and in the industry. 
  • Defines strategies that supports the creation, development, and delivery of analytic solutions to meet business needs. 
  • Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging tools and technologies. 

 

Additional Information:

  • No VISA sponsorship or relocation assistance is available for this opportunity

Employee Type:

Permanent

UPS 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.

Pay Range:

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $178,680.00/year to $290,340.00/year. Pay is based on several factors including but not limited to, market location and may vary depending on job-related knowledge, skills, and education/training and a candidate’s work experience. Hired applicants are offered annual short-term and/or long-term incentive compensation programs, subject to applicable eligibility requirements. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance. The company offers the following benefits for this position, subject to applicable eligibility requirements. Medical/prescription drug coverage, Dental coverage, Vision coverage, Flexible Spending Account, Health Savings Account, Dependent Care Flexible Spending Account, Basic and Supplemental Life Insurance & Accidental Death and Dismemberment, Disability Income Protection Plan, Employee Assistance Program, 401(k) retirement program, Vacation, Paid Holidays and Personal time, Paid Sick and Family and Medical Leave time as required by law, and Discounted Employee Stock Purchase Program.