Analyst I, IM Engineering

Xerox•Published 2 days ago•First seen 1 days ago

About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, we’ve expanded into software and services to sustainably power the hybrid workplace of today and tomorrow. Today, Xerox is continuing its legacy of innovation to deliver client-centric and digitally-driven technology solutions and meet the needs of today’s global, distributed workforce. From the office to industrial environments, our differentiated business and technology offerings and financial services are essential workplace technology solutions that drive success for our clients. At Xerox, we make work, work. Learn more about us at www.xerox.com.

Job Description:  

We are on a mission to drive innovation and transformation through the use of AI across 
the  organization.  We  are  looking  for  experienced  professionals  who  bring  deep 
technical expertise, a problem-solving mindset, and the curiosity to explore what’s next 
in the AI landscape.  
As part of this journey, you will help define, shape, and deliver impactful AI initiatives — 
from exploring Agentic AI capabilities to developing intelligent applications that benefit 
IT and other business functions while creating measurable business value. 
This role is ideal for someone who thrives on experimenting with emerging technologies, 
is motivated to build practical, globally scalable AI solutions, and is comfortable working 
across architecture, development, integrations, and AI-enabled solutions. 
Ideal candidates will demonstrate the ownership, technical versatility, and delivery focus 
needed to enable teams to successfully execute across multiple concurrent initiatives. 
 
Key Skills and Capabilities: 

Full stack application development 
API and microservices development 
Cloud-native application design and deployment 
AI and agentic AI solution development 
Integration with enterprise systems and data sources 
Data engineering and transformation capabilities 
DevOps, CI/CD, and automation practices 
Secure software development 
Strong debugging and problem-solving skills 
Agile and SAFe delivery experience 
Ability to work directly with product, architecture, and business stakeholders