Senior AI Engineer

Caterpillar Brazil; Chennai District; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Caterpillar Inc. is seeking an experienced AI Architect to build and scale the Manufacturing & Supply Digital Platform using Gen AI, AI-ML services on AWS, and generative models. The role focuses on designing pipelines, real-time data integration, and optimized scheduling across the manufacturing lifecycle.

You will lead architecture, model development, deployment workflows, and mentor teams in cutting-edge AI stacks, with a strong emphasis on governance and scalable cloud-native solutions.

Qualifications

• Bachelor’s degree in CS/AI/Data Science with quantitative coursework; 7–10 years of experience required, or Master 4–6 years, or PhD 1–3 years.
• Position requires onsite work five days a week; visa sponsorship not available.

Responsibilities

• Lead architectural design and development of generative/optimization models for process simulation, scheduling, and predictive analytics in manufacturing.
• Orchestrate pipelines integrating synthetic data generation, model training, validation, and deployment.
• Implement advanced optimization (multi-objective, non-linear, evolutionary, constraint-based) for process efficiency.
• Guide integration of embedded AI & Gen AI solutions with real-time industrial data streams for high-throughput, low-latency deployment.
• Mentor teams in coding best practices, simulation modelling, and deployment workflows using industrial AI stacks.

Skills

Generative AI models

AWS AI-ML services

Agentic AI systems (LangChain/AutoGen)

Cloud-native architecture

LLMOps & MLOps tools

Gen AI security, cost & governance

Education

Bachelor’s degree in CS/AI/Data Science

Tools

LangChain

AutoGen

TensorRT

DeepStream SDK

OpenUSD Omniverse Kit/Composer

Job description

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.

Build the Digital Backbone of Modern Manufacturing

We’re assembling a dynamic team to develop and scale our Manufacturing & Supply Digital Platform—a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize. This platform is not an ERP system. It’s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle—from design and engineering to production and distribution. This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You’ll be part of a team that’s not just building software—but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.

As part of this initiative, you’ll contribute to:

• System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.
• Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.
• Automation & Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control—without replacing core transactional systems.
• Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.

If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies—this is your opportunity to make a meaningful impact.

Key Responsibilities

• Lead architectural design and development of generative/optimization models for process simulation, process scheduling, and predictive analytics in manufacturing.
• Orchestrate pipelines integrating synthetic data generation, model training, validation, and deployment.
• Implement advanced optimization: multi-objective, non-linear, evolutionary, and constraint-based approaches for process efficiency (e.g., scheduling, logistics, yield predictions).
• Guide the integration of embedded AI & Gen AI solutions with real-time industrial data streams, ensuring high-throughput, high-availability, and low-latency deployment.
• Mentor teams in coding best practices, simulation-modelling, and deployment workflows using latest industrial AI stacks.

Required Skills

• Strong experience with Generative AI models.
• Hands-on experience with Amazon bedrock and AWS AI-ML services
• Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen or similar.
• Expertise on cloud-native architecture, LLMOps and MLOps tools.
• Familiarity with security, cost and governance best practices for Gen AI on cloud environments.

Nice to Have Skills

• Previous leadership in deploying ML pipelines and automation (CI/CD, containerization) at scale.
• Knowledge of quantization-aware training, model pruning, and NVIDIA-specific deployment tools (TensorRT, DeepStream SDK).
• Working knowledge of OpenUSD scene graphs, data schemas, and extension development for Omniverse Kit/Composer.
• Published research, open-source contributions, or patents in simulation-driven manufacturing AI or optimization.
• Familiarity with NVIDIA’s AI stack— RAPIDS, Triton Inference Server, TensorRT, cuOpt (or similar) Applied industrial AI expertise: root-cause analysis, predictive maintenance, digital twin calibration.

Educational Background

• Typically requires a Bachelor’s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 7-10 years of professional experience in associated field is required, a Master’s degree and 4-6 years of experience, or a PhD and 1-3 years of experience in relevant field.

This position requires working onsite five days a week.

Visa Sponsorship is not available for this position.

Posting Dates: September 16, 2026 - October 1, 2026

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

There's more to work at Caterpillar than just the work itself. We hire smart, friendly people and it shows in our culture. We hold ourselves to high standards and make sure our values of integrity, excellence, teamwork, commitment and sustainability come to life in the way we work. We make sure our employees feel continuously challenged while also supported. We provide professional growth opportunities, including leadership programs. We celebrate the diversity of our team, while also working together as one Caterpillar. Our culture, like everything at our company, is made possible by each employee’s contribution. Person by person, we create the environment we work in, and we are proud of the Caterpillar we’ve built.