Sr. Data Engineer

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.

About Lexmark:

Lexmark is now a proud part of Xerox, bringing together two trusted names and decades of expertise into a bold and shared vision.

When you join us, you step into a technological ecosystem where your ideas, skills, and ambition can shape what comes next. Whether you’re just starting out or leading at the highest levels, this is a place to grow, stretch, and make real impact—across industries, countries, and careers.

From engineering and products to digital services and customer experience, you’ll help connect data, devices, and people in smarter, faster ways. This is meaningful, connected work—on a global stage, with the backing of a company built for the future, and a robust benefits package designed to support your growth, well-being, and life beyond work.

Job Description:

We are on a mission to drive innovation and transformation in Data engineering through the use of Artificial Intelligence (AI) and Machine Learning (ML) 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 Generative and Agentic AI capabilities to developing intelligent applications that benefit IT and other business functions, creating measurable business value. This role is ideal for someone who thrives in ambiguity, enjoys experimenting with emerging technologies, and is motivated to build practical, global scalable AI solutions.

Key Responsibilities:

• Design and implement robust data pipelines that support data preprocessing, model training, and deployment.
• Ensure that the data pipeline is optimized for high-volume and high-velocity data required by ML models.
• Build and manage feature stores that can efficiently store, retrieve, and serve features for ML models.
• Collaborate with cross-functional teams to implement solutions where AI can deliver business impact.
• Design, develop, and operationalize AI/ML solutions using modern frameworks, tools, and cloud platforms.
• Prototype and experiment with Generative AI, LLMs, and agent-based systems to explore new capabilities.
• Build and refine data pipelines and model workflows to enable scalable, production-ready solutions.
• Evaluate AI models and solutions for performance, scalability, and responsible use.
• Contribute to defining best practices, frameworks, and processes for the emerging AI team.
• Stay curious and continuously explore advancements in AI, MLOps, and automation.
  
  

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• 5-10 years of professional experience in data engineering.
• AI/ML Fundamentals - Understanding machine learning concepts, model lifecycle, and common algorithms.
• Generative AI & LLMs - Familiarity with large language models deployment, prompt engineering and fine-tuning techniques.
• Strong programming experience and familiarity with modern AI/ML frameworks.
• Strong analytical, communication, and collaboration skills.
• Passion for innovation, continuous learning, and solving ambiguous problems.
• Comfort working in dynamic, evolving environments with open-ended goals.
  
  

Nice to Have:

• Experience in AI/ML solution development.
• Programming experience with Python and knowledge on scripting for automation and troubleshooting.
• Cybersecurity awareness and adherence to AI governance and data privacy standards.
• Experience with MLOps, cloud AI platforms, and containerization tools (e.g., Docker, Kubernetes).
• Understanding of RAG, vector databases, and AI agent frameworks.
• API Integration - Building and managing APIs for AI services and enterprise applications.
• Familiarity with Responsible AI practices and ethical AI development.
  
  

Who You Are:

You’re an engineer with a curious mind and a builder’s spirit — eager to explore how AI can reshape the way we work and think. You bring expertise, adaptability, and drive to collaborate in an evolving environment where the mission is being defined and the possibilities are wide ope