Technical Lead - AI Cloud And Data Engineering

Career Area

Technology, Digital and Data

Job Description

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, youre joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We dont just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Job Title

Technical Lead – AI, Cloud & Data Engineering

Role Overview

The Technical Lead – AI, Cloud & Engineering Innovation will play a critical role in driving next‑generation technology initiatives across Artificial Intelligence (AI), AWS Cloud platforms, application modernization, and enterprise automation. This role is a blend of hands‑on technical execution, innovation leadership, and team guidance, with a strong focus on building Proof of Concepts (PoCs), introducing new tools and platforms, and solving complex enterprise-scale problems.

The individual will lead technical exploration, guide development teams, collaborate with Cloud and Enterprise teams, and provide end‑to‑end technical solutions that improve efficiency, scalability, and reliability across systems.

Primary Responsibilities

• AI & Emerging Technology Innovation
• Lead the exploration, evaluation, and implementation of AI, GenAI, and advanced analytics solutions aligned with business and platform needs.
• Design and deliver new Proof of Concepts (PoCs) to validate emerging technologies, tools, and architectures before enterprise adoption.
• Evaluate new AI frameworks, platforms, and tools to identify opportunities for automation, intelligence-driven workflows, and operational optimization.
• Translate complex business and technical problems into AI‑enabled solution architectures.
• AWS Cloud Architecture & Technical Upgrades
• Own and drive technical upgrades, modernization, and optimization initiatives on AWS, ensuring systems remain scalable, secure, and cost‑efficient.
• Architect and implement solutions using AWS services such as compute, storage, data, integration, and serverless technologies.
• Ensure AWS solutions adhere to enterprise security standards, governance frameworks, and cloud best practices.
• Partner with Cloud teams to review architectures, address risks, and improve overall platform resiliency.
• Automation & Process Engineering
• Identify recurring operational issues and manual processes and design automation solutions to eliminate redundancy.
• Build end‑to‑end automated workflows and process flows for data movement, application orchestration, monitoring, and remediation.
• Promote a culture of automation-first engineering, reducing technical debt and operational overhead.
• Application & Engineering Development
• Design and build modern web applications, APIs, and backend services to support AI, data, and automation use cases.
• Develop and maintain solutions using Python for application logic, automation, integrations, and cloud services.
• Apply clean code principles, scalable architecture patterns, and performance optimization techniques.
• Support CI/CD pipelines and DevOps practices to enable efficient and reliable deployments.
• Technical Leadership & Team Enablement
• Act as the technical go‑to person for teams, providing guidance on design decisions, implementation approaches, and troubleshooting.
• Lead technical discussions, architecture reviews, and solution walkthroughs.
• Mentor and coach team members, improving overall technical competency, solution quality, and delivery maturity.
• Review code, designs, and solutions to ensure alignment with standards and long-term maintainability.
• Enterprise Collaboration & Support
• Collaborate closely with Cloud, Enterprise Architecture, Security, and Platform teams to align solutions with organizational objectives.
• Support production and pre‑production issues by performing root cause analysis and defining permanent technical fixes.
• Actively participate in cross‑team discussions to resolve gaps, dependencies, and architectural challenges.
• Provide clear technical documentation and communication for stakeholders and leadership teams.
  
  

• Strong hands‑on experience with AWS cloud services and solution design.
• Practical experience in AI / ML / GenAI exploration and implementation.
• Advanced proficiency in Python for application development, automation, and data workflows.
• Experience developing web applications, REST APIs, and cloud‑native services.
• Proven expertise in automation of process flows, incident remediation, and repetitive operational tasks.
  
  

• Demonstrated experience in technical leadership or lead engineer roles.
• Strong problem‑solving and architectural thinking abilities.
• Excellent communication skills to explain complex technical concepts to diverse audiences.
• Ability to influence technical direction without formal authority.
  
  

• Experience with GenAI platforms (e.g., model orchestration, prompt engineering, LLM integration).
• Familiarity with enterprise security, governance, and compliance controls.
• Experience working in large-scale, multi-team enterprise environments.
• Exposure to DevOps, CI/CD pipelines, and infrastructure‑as‑code frameworks.
  
  

• Drives innovation and modernization through AI and cloud adoption.
• Improves system reliability and efficiency via automation and engineering excellence.
• Elevates team capability through technical leadership and mentoring.
• Acts as a bridge between engineering teams and enterprise/cloud platforms.