AI/ML Systems Engineer

Product Function Modeling, Simulation and Analysis - Impacts product design decisions through the utilization and/or interpretation of computational tools and methods that predict the capability of a product's function relative to its system, sub-system and/or component level requirements.

Product Interface Management and Integration - Identifies and analyzes the interfaces and interactions across system boundaries by specifying the requirements and limits to ensure that the product meets requirements; controls the interactions across the system element boundaries by making sure that they remain within specified limits; integrates system elements by creating an integration plan, including identification of method and timing for each activity to make it easier to find, isolate, diagnose, and correct.

Product Problem Solving - Solves product problems using a process that protects the customer; determines the assignable cause; implements robust, data-based solutions; and identifies the systemic root causes and recommended actions to prevent problem reoccurrence.

Product Verification and Validation Management - Develops product systems validation plans from a variety of inputs to identify failure modes, while managing product risk and relative priority; negotiates product requirements against capability to guide project scope; evaluates analytical, simulation and physical test results to verify product capability and validate requirements; assesses legacy versus proposed system solution capabilities and produces recommendations with technical documentation to support product decisions.

System Requirements Engineering - Uses appropriate methods and tools to translate stakeholder needs into verifiable requirements to which designs are developed; establishes acceptance criteria for the system of interest through analysis, allocation and negotiation; tracks the status of requirements throughout the system lifecycle; assesses the impact of changes to system requirements on project scope, schedule, and resources; creates and maintains information linkages to related artifacts.

Systems Thinking - Defines the system of interest by drawing the boundaries, identifying its context within its environment, its interfaces, and that it has a lifecycle to aid in planning the problem statement, scope and deliverables ; analyzes linkages and interactions between elements that comprise the system of interest by using appropriate methods, models and integration of outcomes to understand the system, predict its behavior and devise modifications to it in order to produce the desired effects.

Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.

Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences.

Decision quality - Making good and timely decisions that keep the organization moving forward.

Drives results - Consistently achieving results, even under tough circumstances.

Self-development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.

Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Applies Principles of Statistical Methods - Analyzes technical data using descriptive statistics, probability distributions, graphical analysis, and statistical inference (population and sample, confidence intervals, and hypothesis testing); models relationships between response and independent variables using analysis of variance, regression, and design of experiments to make rigorous, data-based decisions.

Technical Documentation - Documents information based on knowledge gained as part of technical function activities; communicates to stakeholders with the goal of enabling improved technical productivity and effective knowledge transfer to others who were not originally part of the initial learning.

Product Development Execution, Monitoring and Control - Plans, schedules, coordinates and executes the activities involved in developing a product to a respectively aligned hierarchy of requirements and technical profiles; monitors and communicates across functional boundaries to meet project resource and quality expectations; ensures product capability meets or exceeds expectations and takes mitigating actions when project risks are higher than expected; understands the full product life cycle process and stakeholders.

Design and Application of Open/Closed Loop Controls - Specifies software features that interact with mechanical, hydraulic, chemical and electronic systems to deliver desired system states; specifies control system architectures which include appropriate measurements, correct actuation, and algorithms for Cummins' products; configures and/or understands open/closed loop feedback controls features and the system interactions between hardware and software in Cummins' products.

Education, Licenses, Certifications:

College, university, or equivalent Masters degree in Engineering or appropriate STEM field is required.

Post-graduate (Master's) degree relevant to this discipline area may be required for select roles.

This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

Entry level/Early career professional. Preferred candidates would have relevant experience working in either a temporary student employment environment (intern, co-op, or other extracurricular team activities) or as an early career professional in a relevant technical discipline area. Knowledge of MS Office tools is also preferred

QUALIFICATIONS

This is a newly created role that is a part of our PSBU AI rapid response team that will be fielding use cases from the business that machine learning/AI tools can be applied to and rapidly building solutions to provide impact.

As a Digital & AI engineer, you will:

• Utilize principles of statistical, graphical, and hypothesis-led analysis to solve real-world problems in engineering and digital domains.
• Leverage your data analysis results to synthesize findings and translate them into clear stories that enable data-assisted decisions.
• Support the development and testing of AI/ML/LLM prototypes, including persona-based AI agents and digital workflow enhancements.
• Demonstrate good use of appropriate industry tools (e.g., Python, R, PowerBI, Azure Databricks, Excel).
• Participate in agile program activities such as sprint planning, backlog documentation, and team stand-ups.
• Collaborate and communicate effectively (both verbal and written) with key stakeholders across engineering, product, and digital teams.
• Work with development engineers and simulation engineers to collaborate on the use of digital assets to solve engineering problems.
• Gather requirements, identify potential use cases, and manage the end-to-end deployment of AI/LLM/ML and agent-based solutions.
• Collaborate on designing persona-based AI agents using ChatGPT or other LLM tools.
• Define system prompts, tool integrations, and provide first-line support for AI related enhancements.
• Develop documentation, user training, and change management strategies to drive adoption.

You will make an impact by:

• Translating data into stories and identifying business and product levers to drive improvement and optimization.
• Supporting the creation and adoption of AI-enabled tools by contributing to training materials, documentation, and user feedback.
• Using your understanding of statistics and computer programming to test hypotheses, identify causal mechanisms, and recommend appropriate actions.
• Contributing to AI and digital solution development aligned with Cummins' Power Systems and enterprise digital strategies.
• Applying tools and languages related to Data Analysis and AI such as:
• Python, R
• Microsoft Azure Analytics Solutions (Databricks, SSIS)
• Microsoft PowerBI and Excel
• Generative AI tools and frameworks (e.g., ChatGPT, LLM APIs)

College Job Type: Exempt Entry Level

Engineering Subfunction: Technical Information Systems

Degree Level: Master's

Education Program: Computer Science

Start Date: Jan 2026

Job Skill Requirements:

• Foundational knowledge of statistics, data analysis, and hypothesis testing.
• Exposure to (or interest in learning) programming languages such as Python or R .
• Familiarity with data visualization and reporting tools (e.g., PowerBI, Excel ).
• Interest in AI/ML concepts , including machine learning models, natural language processing, or generative AI (LLMs).
• Strong problem-solving skills with the ability to translate data into actionable insights and stories.
• Effective written and verbal communication skills for engaging with cross-functional stakeholders.
• Ability to work collaboratively in an agile team environment , including participation in sprints and stand-ups.
• Eagerness to learn new digital tools and adapt to emerging technologies.

Work Location: Onsite with flexibility

Job Engineering

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type Exempt - Entry Level

ReqID 2418409

Relocation Package Yes

100% On-Site No

Cummins and E-Verify

At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Visit http://EEOC.gov to know your rights on workplace discrimination.

Client-provided location(s): Seymour, IN

Job ID: Cummins-R-2A2DAE6ADE0541E1886427577C600A1F

Employment Type: OTHER

Posted: 2025-12-02T19:19:20