IT Analyst Applications (Python Developer - Automation & AI)

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're 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 don't 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 Summary We are seeking an experienced IT Analyst Applications (Python Developer - Automation & AI) to join our Order Fulfillment & Procurement team - CAT IT Division. To design, develop, and deploy intelligent automation solutions that improve operational efficiency and business outcomes. The ideal candidate will possess strong Python development skills, experience building automation frameworks, integrating enterprise systems through APIs, and leveraging AI/GenAI technologies to create scalable solutions. The preference for this role is to be based out of Bangalore – Caterpillar PSN  This position requires candidate to work a 5-day -a -week schedule. Shift Timing: 01:00-10:00PM IST Key Responsibilities Python Development Design, develop, test, and maintain high-quality Python applications and services. Write clean, scalable, and reusable code following coding standards and best practices. Develop RESTful APIs and integrate with enterprise platforms and third-party systems. Automation Solutions Design and implement business process automation solutions using Python. Build scripts, bots, and workflow automation for operational and business processes. Automate data extraction, validation, transformation, and reporting processes. Integrate automation solutions with cloud and enterprise applications. AI & Generative AI Develop AI-powered solutions using Machine Learning and Generative AI technologies. Integrate Large Language Models (LLMs), AI agents, and chatbots into business workflows. Build intelligent decision support systems and predictive analytics capabilities. Evaluate and adopt emerging AI technologies to drive innovation. Data & Integration Work with SQL/NoSQL databases and cloud data platforms. Build ETL/data pipelines for analytics and AI use cases. Consume and develop REST APIs, web services, and event-driven integrations. DevOps & Quality Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins. Perform code reviews, testing, debugging, and performance tuning. Ensure security, compliance, and reliability of solutions. Collaboration Collaborate with architects, business analysts, product owners, and infrastructure teams. Mentor junior developers and provide technical guidance. Prepare technical documentation, architecture diagrams, and operational procedures. Required Skills Technical Skills 5-8 years of hands-on Python development experience. Strong knowledge of Python frameworks such as Flask, FastAPI, or Django. Experience with automation development and scripting. Proficiency in REST APIs and microservices architecture. Experience with SQL databases (SQL Server, PostgreSQL, MySQL) and NoSQL databases. Knowledge of Git, CI/CD pipelines, and DevOps practices. Experience with cloud platforms such as Azure, AWS, or GCP. AI & Data Skills Experience with AI/ML libraries such as: Pandas NumPy Scikit-Learn TensorFlow/PyTorch Experience with Generative AI solutions and LLMs. Knowledge of prompt engineering, AI agents, and chatbot development. Understanding of Retrieval-Augmented Generation (RAG) concepts. Automation Skills Process automation and workflow orchestration. API-based integration and event-driven automation. Scripting, monitoring, and operational automation. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Experience with Azure OpenAI, GitHub Copilot, LangChain, or similar AI platforms. Certifications in Python, Cloud Technologies, AI/ML, or Automation. Experience working in Agile/Scrum environments. Key Competencies Strong analytical and problem-solving skills. Excellent communication and stakeholder management. Ability to translate business requirements into technical solutions. Innovation mindset with a passion for AI and automation. Leadership and mentoring capabilities. Nice to Have Knowledge of Snowflake, Databricks, or Data Engineering platforms. Experience with RPA tools such as Power Automate, UiPath, or Automation Anywhere. Exposure to enterprise integration platforms like SnapLogic. Experience building AI copilots and intelligent assistants.To be updated Skill Descriptors Core Application Systems: Knowledge of major production application systems used for delivery of services to internal and external clients; ability to leverage major production application systems in diverse situations. Level Basic Understanding: • Describes basic elements and benefits of core applications supported by own area. • Names the organization's core application systems. • Names major business functions and services supported by core applications. • Locates and uses relevant documentation for core applications. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: • Identifies and documents specific problems and resolution alternatives. • Examines a specific problem and understands the perspective of each involved stakeholder. • Develops alternative techniques for assessing accuracy and relevance of information. • Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. • Uses fact-finding techniques and diagnostic tools to identify problems. Application Design, Architecture : Knowledge of application design and architecture principles and practices; ability to utilize application design methodologies, tools, and techniques to convert business requirements and logical models into a technical application design . Level Working Knowledge: • Creates a basic architecture diagram, including component interactions and data flows. • Identifies and prioritizes application design and architecture tasks, such as refactoring and technical debt reduction. • Selects and presents design alternatives for applications of small to medium complexity. • Uses design tools and technologies to develop prototypes and proof of concepts. • Documents design decisions and rationale for future reference and review. Implementation: Knowledge of how to run applications for organizations; ability to implement application software within an organization and help end-users perform specific tasks (ex: accounting or graphic design). Level Working Knowledge: • Tracks problems associated with the quality and effectiveness of application software. • Researches the benefits and drawbacks of an organization's application software. • Drafts application software usage for the department's needs. • Provides instant support for end users of application software. • Implements a specific application software under the supervision of management. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: • Follows policies, practices and standards for determining functional and informational requirements. • Confirms deliverables associated with requirements analysis. • Communicates with customers and users to elicit and gather client requirements. • Participates in the preparation of detailed documentation and requirements. • Ut