434 matching jobs for “Senior Principal AI Engineer”

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Capital One Financial

AI Engineer 4

Cambridge, Massachusetts, United States +3 locations

… team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. …

Added Oct 27, 2026

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Capital One Financial

AI Engineer 4

New York City, New York, United States +3 locations

Added Oct 27, 2026

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Capital One Financial

Distinguished AI Engineer

Bangalore, In

Voyager (94001), India, Bangalore, Karnātaka Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. …

Added Oct 27, 2026

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Palo Alto Networks

Sr. Principal Backend Engineer (Cortex XSIAM)

Office - Israel - Tel Aviv

Your Career: Palo Alto Networks is seeking a visionary Sr. Principal Backend Engineer to shape the future of our Cortex platforms. In this highly impactful role, you will act …

Added Oct 27, 2026

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RTX

Senior Principal Machine Learning Engineer (Hybrid)

East Hartford, Connecticut, United States

Pratt & Whitney is seeking a Senior Principal Machine Learning Engineer to join the Engineering AI Team within the Digital Engineering …

Added Oct 27, 2026

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Palo Alto Networks

Sr Principal DevOps Engineer (Prisma AIRS)

Office - USA - CA - Headquarters

Your Career With Prisma AIRS, Palo Alto Networks is building the world's most comprehensive AI security platform. Organizations are increasingly building complex ecosystems of AI models, applications, …

Added Oct 27, 2026

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Mastercard

Principal Software Engineer

Arlington, Virginia, United States +1 location

Pay posted by employer$195,000–$323,000 USD

… services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Software Engineer About Mastercard Mastercard is a global technology company in the payments industry. Our …

Added Oct 27, 2026

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Walt Disney

Principal Software Engineer

San Francisco, California, United States +1 location

Full time
Regular

… and development for future generation image and video coding especially through the application of ML/AI methods. You will participate and represent Disney at AOM and connect with academic research groups, …

Added Oct 27, 2026

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Walt Disney

Principal Software Engineer

San Francisco, California, United States +1 location

Full time
Regular

Added Oct 27, 2026

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Palo Alto Networks

Sr. Principal Engineer - Cortex Xpanse, Collections

Office - USA - CA - Headquarters

… high-throughput data pipelines to create the foundation for Xpanse’s Attack Surface Management. As a Senior Principal Software Engineer, you will lead the technical vision across the Xpanse organization. You will …

Added Oct 27, 2026

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Palo Alto Networks

Senior Principal/Architect Engineer Software

Office - USA - CA - Headquarters

We are seeking a Module FW Integration Engineer – For Module Integration and Cellular Certification to drive software validation, automation, and the …

Added Oct 27, 2026

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Abbott Laboratories

Principal Data Engineer

United States > Madison : 1 Exact Lane

Pay posted by employer$129,300–$258,700

Position Overview The Principal Data Engineer (IC) is a senior individual contributor and the accountable technical leader for assigned …

Added Oct 15, 2026

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Capital One Financial

AI Engineer 4 (Gen AI Platform Services: Agentic AI)

New York City, New York, United States +4 locations

Added Oct 27, 2026

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Palo Alto Networks

Senior Principal Software Engineer (Cortex Platform)

Office - USA - CA - Headquarters

… innovative team that is passionate about building the best security products in the world. Job Summary As a Senior Principal Backend Engineer in our Cortex group, you will be a key technical leader responsible for …

Added Oct 27, 2026

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Fannie Mae

Principal Cybersecurity & Technology Risk Architect - AI/Cloud

Plano, Texas, United States +1 location

Remote
Full time
Regular

Job Description In this first-line risk role, you will serve as a senior technical risk authority for Enterprise Architecture, Artificial Intelligence (AI), Cloud and Engineering, …

Added Oct 15, 2026

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Allstate

Principal Software Engineer

US - Remote

Full time
Regular

… expectations, procedures, measurement, evidence, reporting, exceptions, ownership, and accountability. The Principal Engineer will help build the engineering function required to make that ambition real. Job Summary The role …

Added Oct 27, 2026

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Workday

Principal Cybersecurity Engineer

Ireland, Dublin +1 location

Flex
Full time

… pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their …

Added Oct 27, 2026

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Palo Alto Networks

Principal Engineer Software

Office - USA - CA - Headquarters

… code while applying test-driven development, automation, and CI/CD practices. Leverage AI/ML to automate incident detection, root cause analysis, and remediation — reducing toil and accelerating …

Added Oct 27, 2026

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Nvidia

Principal Partner Enablement Product Manager, AI Infrastructure

US, CA, Santa Clara

… center blueprint. Second, it supports partners throughout delivery, keeping them aligned as ODMs complete AI Infrastructure data center programs for their customers. Third, it acts as an important feedback and …

Added Oct 27, 2026

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Northern Trust

Sr Lead Software Engineer, AI Security Platform

Chicago, Illinois, United States

Full time
Regular

Pay posted by employer$114,500–$194,700 USD

… sophisticated clients using leading technology and exceptional service. We are seeking a highly experienced Senior Lead Software Engineer to support technical development of our AI-powered Code Security Scanner platform. …

Added Oct 16, 2026

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Mastercard

Principal Software Engineer

Arlington, Virginia, United States +1 more

Pay posted by employer$195,000–$323,000 USD

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About this opportunity

Original employer description

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

Principal Software Engineer

About Mastercard

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Role Overview

As a Principal Engineer within the Decision Stream program, you will combine enterprise-scale technical leadership with hands-on engineering for the next-generation Decision Management Platform. This is not a strategy-only role. You will actively design, code, prototype, and validate core platform capabilities, using modern AI-assisted development tools as part of day-to-day software engineering to move faster, improve quality, and help teams adopt better ways of building.

Key areas of focus include leveraging disruptive technologies in real-time AI inferencing and decisioning to improve product effectiveness, increase business delivery, strengthen technical resilience, and lower cost of ownership. You will work closely with technology executives, senior leaders, and engineers to shape the overall AI & DPE technology strategy.

Key Responsibilities

Platform & Product Development
- Build software, tooling, and platform capabilities.
- Design and implement large scale distributed systems.
- Develop reusable services, patterns, and integrations.
- Contribute to new product and prototype development from concept through validation.

Evaluation & Technical Judgment
- Evaluate systems, frameworks, and tools across quality, cost, latency, scalability, reliability , and maintainability.
- Apply sound engineering judgment to trade-offs in distributed systems design and architecture.

Developer Experience & Enablement
- Apply AI tools as part of daily engineering practice to real product and platform problems.
- Teach and model the adoption of AI-assisted development, modern languages, and current engineering practices.
- Improve developer experience through automation, AI-assisted workflows, and platform thinking.
- Advocate learnings, prototypes, and best practices across the organization.

Customer Experience & Platform Strategy
- Own and improve end-to-end customer experience across a portfolio of services and applications.
- Simplify and optimize architecture strategies to balance cost, performance, and business value.
- Apply judgment and experience to make trade-offs between competing priorities and technical constraints.

Thought Leadership & Influence
- Lead architectural design for complex, enterprise-wide initiatives spanning multiple services and programs.
- Drive organization-wide initiatives to advance software engineering craftsmanship and best practices.
- Represent the organization through public speaking, technical blogs, and white papers on emerging technologies.
- Participate in Principle-level architecture reviews and resolve enterprise-wide technical and regulatory challenges.

Talent & Culture
- Mentor engineers at all levels, fostering technical growth and leadership.
- Conduct technical interviews to raise the performance bar and attract top talent.
- Provide unbiased, accomplishment-based recommendations for promotions.
- Champion AI-assisted engineering as a default working practice and align it with organizational values.

What We're Looking For

You are an awesome engineer and leader who is passionate about joining a like-minded team at Mastercard AI & Decision Product Enablement. You thrive on solving complex engineering challenges at scale and have experience building high-speed streaming platforms or distributed systems at hyperscaler-level performance.
• AI-native engineer — uses AI-assisted development as default
• Innovation leader — builds systems at massive scale and availability
• Streaming-first mindset — experience with low-latency pipelines
• Proven outcomes — delivers impactful, production-ready systems
• Engineering culture champion — drives best practices and transparency
• Collaborative — works across engineering and data science teams

Technical Domains

Candidates are not expected to be expert in all areas but should demonstrate hands-on depth and expertise in one or more of the following:

Decisioning Data & Feature Platforms
- Data architectures for decisioning: lakehouses, delta lakes, distributed logs, and product-aligned data models.
- Feature catalogs and engineering platforms for reusable, governed features that can be defined, discovered, validated, and served across batch and real-time decisioning.
- Decisioning data models covering events, derived features, reference data, labels, outcomes, and policy data consumed by rules, models, and agentic workflows.
- Data contracts, lineage, freshness, and quality controls that keep decisioning data trustworthy, explainable, and production ready.

High-Throughput, Low-Latency & Real-Time Systems
- Event streaming and high-throughput data pipelines.
- Low-latency data technologies -distributed caches, in-memory data grids.
- Real-time transaction processing and sub-second decisioning.

AI & ML Systems
- ML lifecycle engineering: model training, deployment, refresh, and low-latency inference.
- Agentic AI patterns, LLM integration, and prompt engineering applied to platform and product problems.
- Model observability, drift detection, and feedback loops that keep AI systems reliable in production.

Decisioning Tooling & UX
- Authoring, testing, and deployment of business rules engine rules and similar decisioning logic.
- Tooling that helps authors validate rules, models, and policies pre-deployment.
- Operator experience for authors, analysts, and SREs: lifecycle, approvals, observability, and explainability of live decisions.
- Rules engine design and modernization.

Cloud Infrastructure, Platform Engineering & DevOps
- AWS infrastructure engineering and cloud-native platform patterns.
- DevOps and platform engineering -automation, CI/CD, observability, GitOps.

Requirements
- Extensive experience in software engineering and technical leadership
- Proven delivery of large-scale distributed systems
- Expertise in cloud, AI/data platforms, and modern engineering practices
- Strong communication and mentorship skills
- Bachelor’s degree (or equivalent); advanced degree preferred
- Telecommuting and/or working from home may be permissible pursuant to company policies.

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 [email protected] 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 08/20/2026. If the fill date has passed, Mastercard intends to fill this position as soon as possible.



Pay Ranges

Arlington, Virginia: $195,000 - $323,000 USD

Atlanta, Georgia: $170,000 - $281,000 USD

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