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Software Systems Engineer, Data Labeling Engineering - Early Career
General Motors LLC
Sunnyvale, CA
We own a modern full‑stack architecture including TypeScript/React, Python, GraphQL, Golang, and ML model services, which powers data‑annotation pipelines and machine‑led training data…
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- $180,000 to $230,000 USD / year
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Member of Technical Staff, Compiler
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Added 2 mins ago
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(USA) Senior Director, Emerging Sales - Walmart Connect (SMB Advertiser Growth)
Walmart Inc.
AR
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…Lead commercial strategy, revenue growth, and the operating model for a rapidly scaling SMB advertiser business serving primarily small- and mid-sized Marketplace…
Added 4 mins ago
Senior Product Manager, Health and Telemetry
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…integrating hardware, software and services across Ford Blue, Model e and Ford Pro. These products and services allow Ford's retail and commercial customers to customize their vehicles like…
Added 6 mins ago
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- $137,900 to $197,000 USD / year
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Principal Structural Designer
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Champion digital design excellence, model governance, and consistency in the application of design tools, data standards, and drawing practices.
Added 8 mins ago
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Phlebotomist - Scottsdale
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- $18 to $20 USD / hour
Serve as a role model for quality patient and client relations and help create a supportive, respectful climate.
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Added 9 mins ago
ServiceNow - ServiceNow Industry Workflow Architect - Tech Cons - Open Location
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Added 9 mins ago
Risk Service Consultant | Remote - Must be local to Richmond, VA
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CAD Manager
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As a CBRE CAD Manager, you will be responsible for maintaining an enterprise view of the CAD/CAFM service delivery model ensuring global consistency. You will lead a team responsible for…
Added 9 mins ago
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Occupancy Planning Manager
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Baltimore, MD
- $145,000 to $155,000 USD / year
Lead by example and model behaviors that are consistent with CBRE RISE values. Influence parties of shared interests to reach an agreement.
Added 9 mins ago
Super Intelligence Analyst
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Assist technical and mission stakeholders in understanding SI/ML model capabilities, limitations, data dependencies, and operational considerations.
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Model-Based Systems Engineer, Mid
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Lexington Park, MD
As a Model-Based Systems Engineer ( MBSE ) on our team, you have the chance to engineer systems to support our client's digital engineering mission. You will provide engineering te chn ical…
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Experience working with cross-functional AI and ML development teams, enabling secure model training, deployment pipelines, and monitoring frameworks
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- $135,200 to $306,400 USD / year
…high-impact initiatives that improve scalability, resiliency, and developer and operator…
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…the full AI lifecycle, including data pipeline development, model training and evaluation, and deployment of machine learning and generative AI solutions on modern cloud…
Added 18 mins ago
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Added 18 mins ago
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…that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find,…
Added 20 mins ago
Director, Business Development
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Added 21 mins ago
Technical Program Manager - Frontier AI Data Labeling
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…benchmarks versus 87.9% for the closest voice-deployable frontier model. The labeling, evals, and rater calibration behind it are how we earn and defend numbers like…
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Program Manager, Partner Enablement
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…industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability…

Closed listing

Mastercard

AI Engineer ||

O Fallon, MO, United States

Pay Ranges O'Fallon, Missouri: $92,000 - $147,000 USD

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: Pay Ranges O'Fallon, Missouri: $92,000 - $147,000 USD
Posting language: English
Posted: Nov 4, 2026

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Original job description

Archived listing. The details below describe a past opening.

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

AI Engineer ||

Role Summary The AI Engineer is responsible for designing and delivering AI-powered solutions that improve engineering productivity and business workflows. This role requires a strong foundation in AI/ML concepts, with hands-on expertise in LLM systems, data preparation, and context design (including chunking) to build scalable, high-quality AI solutions.

What You Will Do Lead AI-Driven Solution Development

Identify and drive high-impact AI use cases across engineering and business workflows Design end-to-end AI solutions leveraging LLMs, orchestration, and automation Move rapidly from exploration to production-grade implementations

Build LLM Solutions & Intelligent Agents

Develop LLM-based applications including prompt frameworks, orchestration layers, and integrations Create and evolve AI-powered agents (e.g., Copilot-based or similar) for workflow automation and decision support Apply techniques such as retrieval-augmented approaches, context management, and prompt optimization

Design Data, Context & Chunking Strategies (Critical)

Structure and prepare data for LLM consumption, including effective chunking and context window optimization Design retrieval strategies that improve relevance, accuracy, and response quality Balance context size, latency, and cost while maintaining solution effectiveness

Apply Strong AI/ML Foundations

Understand and reason about model behavior, evaluation, bias, and limitations Tune and adapt prompts, context, and workflows instead of relying on model retraining Ensure responsible and effective use of AI through sound engineering practices

Drive Engineering Productivity with AI

Apply AI tools (e.g., Copilot and similar) to improve developer velocity and quality Build reusable patterns for AI-assisted coding, testing, and documentation Measure and scale productivity impact across teams

Data & Application Engineering

Build data pipelines and integrations to support AI workflows Develop APIs, services, and applications embedding AI capabilities Ensure solutions are scalable, maintainable, and integrated into real workflows

What You Bring

Strong foundation in AI/ML concepts, especially LLMs and modern AI systems

Hands-on experience with:

Prompt engineering and LLM orchestration frameworks Context design, chunking strategies, and retrieval techniques Working with structured and unstructured data for AI use cases

Solid software engineering and system design experience Ability to build end-to-end AI solutions (data → context → LLM → application) Pragmatic mindset focused on quality, usability, and business impact

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 02/02/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges O'Fallon, Missouri: $92,000 - $147,000 USD

About employer

More about this job

Skills

ML
Workflow
Normalise data
Documentation
Unstructured data
Cybersecurity
Confidentiality

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