AI Engineer / AI Architect – Mainframe Modernization
About The Position
DXC Technology (NYSE: DXC) empowers global companies to operate their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. Many of the world’s largest companies and public sector organizations trust DXC to deliver exceptional service across the Enterprise Technology Stack, driving performance, competitiveness, and customer experience. Discover more about our commitment to excellence for customers and colleagues at DXC.com. We are seeking an AI professional with strong mainframe expertise to design, develop, and deploy AI‑driven solutions that modernize and enhance legacy applications. This role bridges traditional mainframe environments with modern AI/ML technologies, enabling automation, intelligent insights, and scalable transformation of mission‑critical systems. The ideal candidate combines hands‑on experience with AI/ML models and tools and a deep understanding of mainframe operations, data structures, and workflows.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- Strong hands‑on experience with AI/ML concepts, models, and frameworks (e.g., machine learning, deep learning, NLP, generative AI)
- Proficiency with AI/ML tools and libraries (such as Python‑based frameworks, model training and deployment tools)
- Solid understanding of mainframe systems, including: z/OS architecture and operations COBOL, PL/I, JCL, or assembler (working knowledge) DB2, VSAM, batch processing, and transaction processing concepts
- Experience working with large‑scale enterprise data and complex legacy systems
- Strong problem‑solving, analytical, and communication skills
Nice To Haves
- Experience applying AI to legacy application modernization or refactoring
- Familiarity with MLOps, CI/CD pipelines, and automation frameworks
- Exposure to cloud or hybrid architectures integrated with mainframe systems
- Knowledge of AIOps, intelligent monitoring, or operational analytics
- Experience with model governance, explainability, and responsible AI in enterprise environments
- Experience with AWS Cloud Platform
Responsibilities
- Design and implement AI/ML solutions to modernize, optimize, and automate mainframe‑based applications and processes
- Analyze mainframe data sources (VSAM, DB2, flat files, logs, batch jobs) and prepare them for AI/ML consumption
- Develop models for use cases such as code modernization, anomaly detection, predictive operations, intelligent automation, and decision support
- Integrate AI solutions with mainframe platforms and distributed/cloud environments
- Build and maintain automation frameworks for data pipelines, model training, deployment, and monitoring
- Collaborate with mainframe engineers, application teams, and business stakeholders to translate legacy requirements into AI‑enabled capabilities
- Ensure solutions meet performance, reliability, security, and compliance standards typical of mainframe environments
- Contribute to architectural decisions, best practices, and documentation for AI‑led modernization initiatives
Benefits
- health, dental, and vision insurance coverage
- employee wellness
- life and disability insurance
- a retirement savings plan
- paid holidays
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
