Overview
Hands-on architecture role within Caterpillar's PSLD supply chain organisation, delivering AI-enabled enterprise solutions and setting architecture standards and governance for AI and application development.
What you'll do
- Provide consulting services to internal business groups on process improvement projects designed to improve their business results.
- Analyze, define and document client's requirements, and revise existing systems logic challenges, as necessary.
- Monitor client experiences and feedback on the use of business applications; enhance system productivity, as needed.
- Participate in identifying, evaluating, and developing systems that are cost effective and meet business requirements.
- Independently evaluate, benchmark and recommend the optimal AI ecosystem (Anthropic Claude, Microsoft Copilot / 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, 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 RAG, multi-agent orchestration, MCP-based tool integration, fine-tuning vs. prompt-engineering trade-offs, and model routing / fallback strategies.
- Produce objective decision frameworks and proof-of-concepts that guide leadership investment decisions across competing AI platforms and licensing models.
- Embed evaluation harnesses, hallucination controls and prompt-injection defences into every deployed solution, aligned to Caterpillar enterprise AI governance.
- Own the PSLD automation portfolio: assess processes for RPA, Power Platform, workflow or agentic automation; prioritise by feasibility, complexity and ROI; and retire or rationalise 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 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, presenting architecture options and trade-offs in clear, business-oriented terms.
- Build shared AI components, prompt libraries, connectors and accelerators consumable across PSLD and the wider enterprise.
What you'll need
- Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems or equivalent.
- Minimum 12 years of progressive IT experience, including 5+ years designing and delivering enterprise-scale applications.
- Minimum 3 years of hands-on experience delivering production AI / GenAI solutions in an enterprise environment.
- Demonstrable experience delivering technology solutions for supply chain, manufacturing or logistics business functions.
- Proven record of architecture ownership on at least one large, multi-system, cross-functional programme.
- Working depth across Anthropic Claude, Microsoft Copilot / Microsoft 365 Copilot, Azure OpenAI and Google Gemini, with the ability to articulate comparative strengths, cost profiles and enterprise fit, and to justify platform selection with evidence.
- Microsoft 365 Copilot, Copilot Studio, custom agents and connectors, agent governance, adoption measurement and change management.
- GenAI engineering: prompt engineering, RAG pipelines, vector search and embeddings, function/tool calling, MCP, agent orchestration frameworks, model evaluation and benchmarking, guardrails and observability.
- AI-assisted SDLC: GitHub Copilot, spec-driven development, automated test generation (e.g. Playwright), AI-generated documentation and governance agents.
- Application engineering: Microsoft .NET / C#, React, REST and event-driven APIs, microservices and secure integration patterns.
- Cloud and data: Microsoft Azure (App Services, Functions, API Management, Azure AI Services, Key Vault); Snowflake or equivalent cloud data platform; SQL Server; data modelling for analytics and AI workloads.
- Automation and low-code: Microsoft Power Platform (Power Apps, Power Automate, Power BI, Copilot Studio) and RPA tooling such as UiPath, Automation Anywhere or Blue Prism.
- Security and compliance: secure-by-design application architecture, identity and access management, vulnerability remediation, and partnership with infrastructure and security teams.
- Engineering practice: Azure DevOps / Git, CI/CD, containerization, automated testing, application security, performance engineering and cost optimization.
Nice to have
- Certifications such as Microsoft Azure Solutions Architect Expert, Azure AI Engineer, APICS CPIM/CSCP, or equivalent.
- Experience with agentic architectures in a regulated or global-trade context.
- Exposure to heavy manufacturing, dealer networks or aftermarket parts distribution.
- Prior experience within Caterpillar PSLD or an equivalent parts and logistics organisation.
- Experience coordinating delivery across business, SAP, infrastructure and security teams in a global enterprise.
Details
- Location: Bangalore, Karnataka, India.
- Works onsite five days a week.
- Occasional travel to Caterpillar facilities and business partner locations may be required.
- Visa sponsorship is not available for this position.
Read the full description and apply on the company’s own careers page.