C

Caterpillar

Makes heavy machinery, engines and gas turbines

IT Specialist

AI Application EngineeringPosted on Nov 12
Full-timeBengaluru, Karnataka, India

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Software Engineering, Information Systems, or equivalent is required.
  • A minimum of 12 years of progressive IT experience is required, including at least 5 years designing and delivering enterprise-scale applications.
  • At least 3 years of hands-on experience delivering production AI or generative AI solutions in an enterprise environment is required.
  • Demonstrable experience delivering technology solutions for supply chain, manufacturing, or logistics business functions is required.
  • A proven record of architecture ownership on at least one large, multi-system, cross-functional programme is required.
  • Working depth across Anthropic Claude, Microsoft Copilot, Microsoft 365 Copilot, Azure OpenAI, and Google Gemini is required, including the ability to compare strengths, costs, and enterprise fit and justify platform selection with evidence.
  • Experience with Microsoft 365 Copilot, Copilot Studio, custom agents and connectors, agent governance, adoption measurement, and change management is required.
  • Experience with prompt engineering, retrieval-augmented generation pipelines, vector search and embeddings, function and tool calling, Model Context Protocol, agent orchestration frameworks, model evaluation and benchmarking, guardrails, and observability is required.
  • Experience with GitHub Copilot, specification-driven development, automated test generation such as Playwright, AI-generated documentation, and governance agents is required.
  • Experience with Microsoft .NET and C#, React, REST and event-driven APIs, microservices, and secure integration patterns is required.
  • Experience with Microsoft Azure App Services, Functions, API Management, Azure AI Services, and Key Vault; Snowflake or an equivalent cloud data platform; SQL Server; and data modelling for analytics and AI workloads is required.
  • Experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, and Copilot Studio, and RPA tools such as UiPath, Automation Anywhere, or Blue Prism is required.
  • Knowledge of secure-by-design application architecture, identity and access management, vulnerability remediation, and collaboration with infrastructure and security teams is required.
  • Experience with Azure DevOps or Git, CI/CD, containerization, automated testing, application security, performance engineering, and cost optimization is required.
  • Experience coordinating delivery across business, SAP, infrastructure, and security teams in a global enterprise is required.

Responsibilities

  • Provide consulting services to internal business groups on process-improvement projects designed to improve business results.
  • Analyze, define, and document client requirements, and revise existing system logic challenges as necessary.
  • Monitor client experiences and feedback on business applications and enhance system productivity as needed.
  • Participate in identifying, evaluating, and developing cost-effective systems that meet business requirements.
  • Independently evaluate, benchmark, and recommend the optimal AI ecosystem—including Anthropic Claude, Microsoft Copilot and Azure OpenAI, Google Gemini, and comparable frontier models—against cost, accuracy, latency, context window, tool-calling maturity, data residency, and enterprise security criteria.
  • Lead the PSLD adoption roadmap for Microsoft 365 Copilot, Copilot Studio, and agentic AI by identifying high-value use cases, running pilots, measuring adoption and productivity impact, and scaling proven agents into production.
  • Establish, publish, and govern architecture standards, design patterns, and technology guardrails for AI and application development across PSLD.
  • Define and own reference architectures for retrieval-augmented generation, multi-agent orchestration, Model Context Protocol-based tool integration, fine-tuning versus prompt-engineering trade-offs, and model routing and fallback strategies.
  • Produce objective build-versus-buy decision frameworks and proofs of concept to guide leadership investment decisions across competing AI platforms and licensing models.
  • Embed evaluation harnesses, hallucination controls, and prompt-injection defences in every deployed solution in alignment with Caterpillar enterprise AI governance.
  • Own the PSLD automation portfolio by assessing processes for RPA, Power Platform, workflow, or agentic automation; prioritizing by feasibility, complexity, and return on investment; and retiring or rationalizing legacy automations.
  • Drive modernization across applications, Microsoft 365, Power Platform, RPA, .NET, Mainframe, SAP integrations, and data platforms, moving from bespoke point solutions toward reusable, governed enterprise capability.
  • Assess the existing application estate, define a modernization roadmap, and sequence technical-debt remediation against business risk and value.
  • Set engineering standards, conduct design and code reviews, and mentor developers on AI-assisted SDLC practices using GitHub Copilot and agentic tooling.
  • Act as the technical authority in leadership forums by presenting architecture options and trade-offs in clear, business-oriented terms.
  • Drive reusability by building shared AI components, prompt libraries, connectors, and accelerators for use across PSLD and the wider enterprise.
  • Travel occasionally to Caterpillar facilities and business partner locations as the role requires.

Desired Qualifications

  • Certifications such as Microsoft Azure Solutions Architect Expert, Azure AI Engineer, APICS CPIM, or APICS CSCP, or equivalent, are preferred.
  • Experience with agentic architectures in a regulated or global-trade context is preferred.
  • Exposure to heavy manufacturing, dealer networks, or aftermarket parts distribution is preferred.
  • Prior experience within Caterpillar PSLD or an equivalent parts and logistics organization is preferred.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Irving, TX
Founded
1925

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