AI Architect – Legacy & Mainframe Modernization

Job Description :

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.

Key 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.

Required Skills & Technologies

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

Preferred Qualifications

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.

DXC Office Locations

Plano, TX

Farmington Hills, MI

Nashville, TN

New York, NY

New Orleans, LA

Ashburn, VA

Bellevue, WA

Tulsa, OK

Charleston, SC

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.