Technical Architect Leader – Application Modernization and AI Integration: Caterpillar Inc.

Caterpillar is seeking a visionary Technical Architect Leader to spearhead the modernization of a mission-critical application for the Mining and Construction Industry. This role is focused on driving the transformation of legacy systems into intelligent, scalable, cross-deployable, and AI-powered platforms.

You will lead the complete architectural strategy, design, and execution, with a strong emphasis on integrating cutting-edge technologies like AI/ML and autonomous agents to automate decision-making, optimize operations, and deliver enhanced business value.

Responsibilities
Architectural Leadership: Define and evolve the technical architecture for the application modernization. Lead the end-to-end solution design, ensuring scalability, performance, and security while establishing architectural standards and best practices.

AI & Agent Integration: Identify opportunities to embed AI/ML models and intelligent agents to automate decision-making and optimize operations. Collaborate closely with data scientists and AI engineers to integrate predictive analytics and autonomous workflows.

Modernization Strategy: Assess legacy systems and define a phased modernization roadmap. Drive the migration to microservices, containerization, and infrastructure-agnostic deployments, introducing APIs and event-driven architecture.

Innovation & Value Creation: Partner with product teams to conceptualize and deliver new features that create tangible business value, staying ahead of emerging technologies.

Team & Stakeholder Collaboration: Mentor engineering teams, foster a culture of technical excellence, and work closely with cross-functional stakeholders (product, operations, leadership).

Requirements
Required Qualifications:

A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

10+ years of experience in software architecture and engineering leadership.

Proven experience modernizing large-scale enterprise applications.

Strong expertise in cloud platforms, microservices, and API design.

Hands-on experience with AI/ML integration and intelligent agent frameworks.

Excellent communication and stakeholder management skills.

Preferred Skills:

Hands-on experience with software development.

Well-versed in Gen AI tooling usage in the SDLC (Software Development Lifecycle).

Experience with mining, industrial automation, or heavy equipment software platforms.

Familiarity with edge computing, IoT, and telemetry data processing.

Knowledge of DevOps, CI/CD, and infrastructure-as-code.

Certifications in cloud architecture (AWS, Azure, GCP) or AI/ML.