AI Architect – Legacy & Mainframe Modernization

DXC Technology

7d

About The Position

DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private, and hybrid clouds. The world’s largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience. Learn more at DXC.com. At DXC, we use the power of technology to deliver mission-critical IT services that our customers need to modernize operations and drive innovation across their entire IT estate. We provide services across the Enterprise Technology Stack for insurance, analytics and engineering, applications, security, cloud, IT outsourcing, and modern workplace solutions. Our DXC Insurance Services help customers optimize and transform operations, lower costs, and accelerate new channels to growth. Our people, technology, and best practices improve and automate highly complex middle- and back-office processes while enabling customer experience transformation. Role Overview We are seeking an AI Professional with Mainframe Expertise to design, develop, and deploy AI-driven solutions that modernize and enhance legacy mainframe applications. The ideal candidate brings a strong foundation in AI/ML, data engineering, and automation, combined with hands-on experience working with mainframe systems, data structures, and workloads. This role focuses on applying AI, Machine Learning, and Generative AI to improve legacy system efficiency, automate operations, unlock mainframe data for analytics, and support modernization initiatives—while ensuring security, compliance, and enterprise scalability.

Requirements

• AI / Machine Learning
• Python-based AI/ML development
• Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn)
• Generative AI and LLMs (prompt engineering, RAG patterns, model integration)
• NLP, predictive modeling, anomaly detection, and automation use cases
• Model lifecycle management, evaluation, and tuning
• Mainframe & Legacy Systems
• Strong understanding of IBM Mainframe environments (z/OS)
• COBOL, JCL, DB2, VSAM data structures
• Batch and online processing concepts (CICS preferred)
• Experience working with mainframe operational data and logs
• Data & Integration
• Data engineering and pipelines for structured and semi-structured data
• SQL and relational databases (DB2, PostgreSQL, etc.)
• APIs, messaging, and event-driven architectures
• Secure data access and governance
• Cloud & Platforms (Preferred)
• AWS or hybrid cloud environments
• AI/ML services and data platforms
• Containerization and automation concepts
• DevOps and CI/CD exposure

Nice To Haves

• Experience applying AI/ML in legacy modernization or mainframe environments
• Familiarity with DXC insurance platforms such as wmA, Vantage, CyberLife (preferred, not mandatory)
• Experience in regulated industries (Insurance, Financial Services, Healthcare)
• Strong communication skills to translate AI outcomes into business value.

Responsibilities

• Design and implement AI/ML-driven solutions to modernize and optimize legacy mainframe applications and processes.
• Analyze mainframe workloads, data structures (VSAM, DB2, flat files), and batch/online processes to identify AI and automation opportunities.
• Develop AI-powered use cases such as: Intelligent batch optimization and failure prediction Anomaly detection and operational intelligence Code analysis, refactoring recommendations, and documentation using GenAI Data enrichment and predictive analytics leveraging mainframe data
• Build and deploy AI/ML models using Python and modern ML frameworks, integrating them with mainframe and distributed systems.
• Enable secure access to mainframe data for AI/analytics using APIs, data pipelines, and event-driven architectures.
• Collaborate with modernization, cloud, and application teams to integrate AI solutions into broader transformation programs.
• Apply Responsible AI principles, ensuring explainability, governance, security, and compliance.
• Participate in architecture reviews, AI strategy discussions, and modernization roadmap planning.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees