Caterpillar Logo

Caterpillar

Senior Data Scientist, Gen AI Delivery

Reposted 9 Days Ago
Hybrid
Chicago, IL
113K-183K Annually
Senior level
Hybrid
Chicago, IL
113K-183K Annually
Senior level
Develop and optimize generative AI and large language model solutions, including fine-tuning, agentic workflows, retrieval-augmented generation, and experimentation. Research emerging algorithms, evaluate model performance using automated and human-in-the-loop methods, implement safety guardrails, and integrate AI services with cloud platforms. Mentor junior data scientists and guide technical approaches for AI-driven products.
The summary above was generated by 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.
Cat® Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital and analytics solutions for our customers and dealers. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. With over 1.5M connected assets worldwide, our business and in the industries, we serve, data is generated continuously by Cat® equipment using the latest technology, advanced analytics, telematics and AI capabilities to help our customers build a better world.
Job Summary:
Join the Gen AI Delivery team of Cat Digital and be responsible for bringing world class GenAI capabilities to our products and services.
What You Will Do:
  • Model Development: Fine-tuning, implementing, developing, and optimizing models used in generative AI solutions
  • Algorithm Research: Staying updated with the latest advancements in AI and machine learning algorithms and integrating them into the team's projects.
  • Experimentation: Conducting experiments to test the performance of different models and approaches, and iterating based on the results.
  • Research and Implementation: Agentic GenAI solution research and best approach to implement solutions
  • Training and Mentorship: Providing guidance and mentorship to junior data scientists and other team members.

What You Will Have:
  • Business Statistics: Knowledge of statistical tools and processes to describe results; ability to use statistical tools, including experiment design for LLM evaluation, to assist in making data-driven business decisions.
  • Analytical Thinking: Knowledge of techniques to promote effective analysis; ability to determine the root cause of organizational problems and architect agentic workflows that decompose complex tasks into autonomous sub-tasks.
  • Machine Learning: Knowledge of algorithms and principles; ability to develop and deliver Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous systems.
  • Programming: Solid understanding of software engineering and clean code; ability to utilize Python and deep learning frameworks to conduct AI research, build rapid prototypes, and iterate on diverse Generative AI applications, including but not limited to agentic workflows.
  • Requirements Analysis: Ability to elicit and record business requirements to ensure the success of AI-driven products, incorporating human-in-the-loop (HITL) reviews and safety guardrails for autonomous system development.

Considerations for Top Candidates:
  • Proven ability to lead and guide a team of data scientists, providing technical mentorship and fostering a collaborative research environment.
  • Graduate degree (Master's or Ph.D.) in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field.
  • At least 3 years of professional experience in Data Science and Machine Learning.
  • At least 1 year of professional experience in the Generative AI domain, specifically working with Large Language Models (LLM).
  • Advanced proficiency in Python for carrying out AI research and developing rapid prototypes for diverse AI applications.
  • Foundational knowledge in LLM as well as other AI domains such as computer vision, speech and exposure to agentic AI architectures.
  • Experience to evaluate generated content from Large Language Models using both automated metrics and human-in-the-loop methodologies.
  • Solid understanding of AI observability tools like LangSmith, Langfuse, or AgentOps to monitor traces, identify logic bottlenecks, and debug agent reasoning.
  • Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model development, data handling, and AI service integration.

What You Will Get:
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
Additional Information:
This position will be based out of either our Chicago, IL; Peoria, IL; Broomfield, CO (Denver) or Irving, TX (Dallas) offices.
#LI
#BI (used to post on Built In Chicago)
About Caterpillar
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
Summary Pay Range:
$112,710.00 - $183,140.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits:
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
  • Medical, dental, and vision benefits*
  • Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
  • 401(k) savings plans*
  • Health Savings Account (HSA)*
  • Flexible Spending Accounts (FSAs)*
  • Health Lifestyle Programs*
  • Employee Assistance Program*
  • Voluntary Benefits and Employee Discounts*
  • Career Development*
  • Incentive bonus*
  • Disability benefits
  • Life Insurance
  • Parental leave
  • Adoption benefits
  • Tuition Reimbursement

* These benefits also apply to part-time employees
Visa Sponsorship is not available for this position.
Posting Dates:
September 10, 2026 - September 20, 2026
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community.

Similar Jobs at Caterpillar

Yesterday
Hybrid
113K-183K Annually
Senior level
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Design, prototype, test, and deploy software applications and emerging technology solutions. Evaluate generative AI, LLMs, automation, cloud services, APIs, and modern development platforms; convert ideas into proofs of concept, pilots, and production features. Apply secure, scalable engineering practices while collaborating with product, architecture, data, security, operations, and business teams. Communicate technical tradeoffs, mentor others, document learnings, and help transition successful experiments into enterprise-ready solutions.
Top Skills: Ai-Assisted DevelopmentAPIsAutomation PlatformsCloud PlatformsCloud-Native ServicesData PipelinesDevOpsGenerative AiIntelligent AutomationLarge Language Models (Llms)MicroservicesObservability ToolsPrompt EngineeringRetrieval-Augmented Generation (Rag)Vector Databases
Yesterday
Hybrid
113K-183K Annually
Senior level
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Develop and deploy generative AI assistants, processing pipelines, tooling, and software using Python or Go. Build FastAPI services, edge-device components, CI/CD pipelines, and AWS infrastructure. Apply LLMs, prompt engineering, and modern agent architectures using LangChain and LangGraph. Collaborate with data scientists to productionize scalable analytics and AI solutions, and assist with Airflow-based machine learning pipelines. The role also requires software architecture, testing, technical writing, and cross-functional collaboration.
Top Skills: Amazon Api GatewayAmazon RdsAmazon Sagemaker StudioApache AirflowAWSAws LambdaCloudFormationCrewaiFastapiGitGithub ActionsGoLangchainLanggraphLarge Language ModelsMcpObject-Oriented ProgrammingPrompt EngineeringPythonSemantic Kernel
Yesterday
Hybrid
113K-183K Annually
Senior level
113K-183K Annually
Senior level
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Develop and maintain Python data pipelines that support business applications. Design, implement, and deploy software solutions, CI/CD pipelines, source-to-target mappings, and automated unit and integration tests. Resolve complex technical issues, interpret engineering requirements, promote software quality practices, and identify team improvement opportunities. The role also involves AWS cloud services, Snowflake, Git, and AI-assisted development tools.
Top Skills: Amazon CloudwatchAmazon DynamodbAmazon EventbridgeAmazon KinesisAmazon RdsAmazon S3Amazon SagemakerAws CloudformationAws FargateAws IamAws LambdaAzure DevopsCi/CdClaude CodeGitGithub ActionsGithub CopilotJenkinsPythonSnowflake

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account