Xerox

About Xerox AI Center of Excellence

The Xerox AI Center of Excellence (AI CoE) is responsible for delivering material, measurable business impact through artificial intelligence. Our work spans generative AI, agentic systems, enterprise AI platforms, and operational transformation.

At Xerox, AI success is not measured by models deployed, but by value realized. We believe that AI ROI is ultimately a human problem—driven by adoption, trust, workflow fit, and meaningful value for both customers and employees. This is why we intentionally invest not only in engineers and architects, but also in understanding human systems.

Why This Role Matters

At Xerox, our goal is for AI to deliver meaningful value to both our customers and our employees. This role exists because technology alone does not create value—people do.

Overview

AI Center of Excellence (AI CoE) Intern will support the team to identify opportunities for leveraging company data to drive business solutions. This role applies anthropological and qualitative research methods to improve the real-world effectiveness of AI initiatives already underway at Xerox and for those in flight.  You will design and execute mixed methods research, synthesize findings, and partner with cross functional teams to guide decisions that improve satisfaction and engagement. Your work ensures our experiences are effective, usable, and compliant, while connecting research outcomes to business goals and success metrics.

Intern Opportunities and Scope:  

• Conduct and execute research using interviews, ethnography, and quantitative and qualitative methods to generate customer insights.
• Identify human, cultural, and organizational barriers that prevent AI solutions from being adopted or trusted
• Collaborate with cross functional partners to integrate user insights into product/project development and prioritization. Understand and incorporate complex technical and business requirements into research.
• Contribute to research strategy; connect craft work to business goals and downstream implications.
• Support AI Ethics and Governance efforts by surfacing trust, explainability, and fairness concerns from the field

Intern Project

• Complete an individual or small-team AI project during the internship including a final report on topics such as:
• Common adoption failure modes
• Cultural and organizational resistance patterns
• Early warning signs of AI value leakage
• Practical guidance for future AI deployments

o   Ethics and Governance improvement opportunities

Key Responsibilities

• Responsible to define project scope, objectives, and success criteria in collaboration with AI CoE Manager or Lead
• Conduct research, data collection, and analysis using anthropological methods, established frameworks or company standards
• Prepare a written presentation report summarizing findings, risks identified and recommended improvements
• Present project results and recommendations to AI leadership and/or management at the conclusion of the internship
• Receive feedback from stakeholders to support professional growth and practical learning.

Internship Success Criteria: 

• Produce enterprise usable artifacts that are understandable to business leaders and applicable beyond a single project in areas such as the following: common adoption failure modes, cultural or organizational resistance patterns, practical guidance for future AI deployments, ethics and governance improvement opportunities or ethics and governance improvement opportunities.
• Identify at least one concrete human or workflow barrier affecting an active AI initiative.
• The candidate learns meaningful skills to prepare them for future roles in enterprise environments including confidently preparing and presenting their findings, communicating the value of a human centered approach to AI Adoption, and navigating ambiguity, incomplete information and competing stakeholder perspectives.

Educational Qualifications: 

• Actively enrolled in an accredited college/university pursuing a degree in Anthropology (or closely related fields such as Sociology or Human Centered Design). 
• Strong qualitative research and interviewing skills

·       Ability to work 40 hours per week (Monday–Friday).

·       Ability to work on-site at the Lexmark office in Lexington, KY, at least 3 days per week (Tuesday & Thursday required, plus one additional day).

Preferred Skills: 

• Ability to synthesize complex, ambiguous information into clear insights
• Strong written communication skills (executive level clarity preferred)
• Curiosity about how technology shapes human behavior and organizations
• Interest in enterprise technology, AI, or digital transformation
• Experience with ethnographic research, user studies, or fieldwork
• Comfort working with technical and nontechnical stakeholders