Technical Lead AI, Cloud and Data engineering

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Job Description:

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Job Title

Technical Lead AI Cloud & Data Engineering

Role Overview

The Technical Lead AI Cloud & Engineering Innovation will play a critical role in driving nextgeneration technology initiatives across Artificial Intelligence (AI) AWS Cloud platforms application modernization and enterprise automation. This role is a blend ofhandson 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 endtoend technical solutions that improve efficiency scalability and reliability across systems.

Primary Responsibilities

1. AI & Emerging Technology Innovation

• Lead theexploration evaluation and implementation of AI GenAI and advanced analytics solutions aligned with business and platform needs.
• Design and delivernew Proof of Concepts (PoCs) to validate emerging technologies tools and architectures before enterprise adoption.
• Evaluate new AI frameworks platforms and tools to identify opportunities forautomation intelligence-driven workflows and operational optimization.
• Translate complex business and technical problems intoAIenabled solution architectures.

2. AWS Cloud Architecture & Technical Upgrades

• Own and drivetechnical upgrades modernization and optimization initiatives on AWS ensuring systems remain scalable secure and costefficient.
• Architect and implement solutions using AWS services such as compute storage data integration and serverless technologies.
• Ensure AWS solutions adhere toenterprise security standards governance frameworks and cloud best practices.
• Partner with Cloud teams to review architectures address risks and improve overall platform resiliency.

3. Automation & Process Engineering

• Identify recurring operational issues and manual processes and designautomation solutions to eliminate redundancy.
• Buildendtoend automated workflows and process flows for data movement application orchestration monitoring and remediation.
• Promote a culture ofautomation-first engineering reducing technical debt and operational overhead.

4. Application & Engineering Development

• Design and buildmodern web applications APIs and backend services to support AI data and automation use cases.
• Develop and maintain solutions usingPython 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.

5. Technical Leadership & Team Enablement

• Act as thetechnical goto 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 overalltechnical competency solution quality and delivery maturity.
• Review code designs and solutions to ensure alignment with standards and long-term maintainability.

6. Enterprise Collaboration & Support

• Collaborate closely withCloud Enterprise Architecture Security and Platform teams to align solutions with organizational objectives.
• Support production and preproduction issues by performingroot cause analysis and defining permanent technical fixes.
• Actively participate in crossteam discussions to resolve gaps dependencies and architectural challenges.
• Provide clear technical documentation and communication for stakeholders and leadership teams.

Required Skills & Experience

Core Technical Skills

• Stronghandson experience with AWS cloud services and solution design.
• Practical experience inAI / ML / GenAI exploration and implementation.
• Advanced proficiency inPython for application development automation and data workflows.
• Experience developingweb applications REST APIs and cloudnative services.
• Proven expertise inautomation of process flows incident remediation and repetitive operational tasks.

Leadership & Soft Skills

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

Preferred / GoodtoHave Skills

• Experience with GenAI platforms (e.g. model orchestration prompt engineering LLM integration).
• Familiarity withenterprise security governance and compliance controls.
• Experience working inlarge-scale multi-team enterprise environments.
• Exposure to DevOps CI/CD pipelines and infrastructureascode frameworks.

Role Impact

• Drivesinnovation and modernization through AI and cloud adoption.
• Improves system reliability and efficiency viaautomation and engineering excellence.
• Elevates team capability throughtechnical leadership and mentoring.
• Acts as a bridge betweenengineering teams and enterprise/cloud platforms.

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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