2,175,720open jobs
140,543companies
240,635added this week
Browse all
Salary
$195k – $323k per year
Location
In office (New York, United States, Arlington)
Seniority
Architect
Visa
H-1B filings in 12 months: 414 · for this role: 14 · green card filings: 190
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Sep 22, 2026. Mastercard scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Mastercard is an American payments technology company whose origins date to 1966, when a group of banks formed the Interbank Card Association to compete with BankAmericard. Like its main rival it does not issue cards or extend credit; it operates the network that authorises, clears and settles transactions between issuing banks, acquirers and merchants in more than two hundred countries. Headquartered in Purchase, New York, the company has built a large services business alongside the core network, covering fraud and identity products through its Ethoca and RiskRecon acquisitions, open banking, consulting and loyalty programmes.

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

Director, AI Engineering, Transformation TeamOverview:

The Transformation Team leads strategic change initiatives to reimagine how Mastercard works and scales, simplifies, and accelerates business outcomes. The team partners across leadership, product, technology, and operations to design and implement new organizational models, embed AI across key workflows, drive enterprise-wide transformation programs, improve operating effectiveness, and ensure successful adoption of change. By combining strategy, AI engineering, organizational design, change management, and program execution, the team helps align people, processes, and priorities to support long-term growth and business performance.

Role:

  • This job develops and executes short-term and medium-term strategic plans for AI Engineering across Mastercard, aligning functional initiatives with organizational objectives by modifying existing methods to make significant improvements to existing processes, programs, and/or policies.
  • Drives the development and execution of short-term functional strategies for AI/ML teams, translating organizational priorities into actionable plans and deliverables.
  • Collaborates with product and business leaders to translate organizational needs into scalable AI solutions and operational strategies.
  • Oversees the ML engineering lifecycle of AI/ML projects, from architecture, design to deployment and monitoring, ensuring timely delivery within scope and budget.
  • Leads cross-functional teams in optimizing, fine-tuning, and deploying models that meet performance, robustness, and ethical standards, ensuring operational stability, scalability, and compliance of AI/ML systems, including model governance, ethical standards, and risk management.
  • Provides technical guidance and mentorship to senior technical leads, supporting their professional growth and ensuring technical excellence.
  • Serves as a key stakeholder and influencer in cross-functional initiatives, working closely with product managers, data scientists, and business units to align AI/ML solutions with strategic objectives.
  • Defines and refines best practices, standards, and methodologies for AI/ML optimization, deployment, and maintenance, ensuring consistency and high-quality outputs.
  • Contributes to organizational strategy by identifying emerging trends, evaluating new technologies, and recommending investments in AI/ML capabilities.

All About You:

  • Strong hands-on understanding of transformer architectures and generative AI, including fine-tuning, prompting, embeddings, and evaluation
  • Experience bridging model development and real-world application, translating AI capabilities into business impact
  • Solid engineering background, with familiarity in Python, ML frameworks (e.g. PyTorch/TensorFlow), and production deployment patterns
  • Experience working with data engineering and MLOps practices to support training, evaluation, and inference at scale
  • Strong stakeholder management skills, with the ability to align technical delivery to business priorities and measurable outcomes
  • Comfortable operating in a fast-moving, evolving AI landscape with ambiguity and shifting priorities

• Excellent communication skills, able to articulate complex AI concepts to both technical and non-technical audiencesMastercard 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.

Pay Ranges

Purchase, New York: $195,000 - $323,000 USDArlington, Virginia: $196,000 - $323,000 USDO'Fallon, Missouri: $170,000 - $281,000 USD
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,175,720 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Leadership
Remote, many countries
Similar stack
Same company
New York
$150k – $210k per year · In office · 5+ years exp · Bachelor's Degree · Alpharetta
AI/ML
EU AI Act
NIST AI RMF
Cybersecurity
NIST CSF
STRIDE
Threat Modeling
Apply
In office · Nationals only · Full-Time · 10+ years exp · Bachelor's Degree · Grand Forks
Apply
$160k – $215k per year · Equity · Hybrid · Full-Time · 3+ years exp · Austin
Management
Confluence
Jira
SharePoint
Apply
Compliance Tech Lead 4 hours ago
In office · 10+ years exp · United States
JavaScript
SQL
C#
Node JS
C#
ASP.NET Core
Databases
MS SQL
Frontend
React.js
Management
Agile
Apply
In office · 8+ years exp
Apply
Remote (likely EAEU) · 5+ years exp · Moscow
AI/ML
Model Context Protocol
AI Agents
LLM
DevOps
CI/CD
Kubernetes
Apply
Remote (likely EAEU) · Moscow
Databases
Greenplum
AI/ML
Hadoop
DevOps
Amazon S3
Management
Confluence
Jira
Agile
Scrum
Kanban
Apply
Remote (EAEU) · Full-Time · 3+ years exp · Moscow
Apply
Remote (APAC) · Contractor · 15+ years exp
Apply
$182k – $259k per year · Remote (United States) · Full-Time · 7+ years exp · Austin · Atlanta
Java
PHP
Scala
Databases
MySQL
RabbitMQ
ElasticSearch
Apache Kafka
OpenSearch
AI/ML
Fine-tuning
Embeddings
AI Agents
Hybrid Search
Semantic Search
DevOps
Docker
Kubernetes
Apply
$127k – $176k per year · In office · TS/SCI · 4+ years exp · Bachelor's Degree · Columbia
Python
AI/ML
Model Context Protocol
LLM
DevOps
Git
IoT
Matter
Apply
$150k – $250k per year · Remote (United States) · Full-Time · 7+ years exp · Bachelor's Degree · Austin · Atlanta
Python
SQL
Databases
Snowflake
AI/ML
Copilot
Cursor
LangGraph
AutoGen
LangChain
Airflow
Claude Code
Model Context Protocol
dbt
AI Agents
LLM
RAG
Anomaly Detection
Human-in-the-Loop
LLM Guardrails
Agentic Workflows
DevOps
Self-Healing
FinOps
Analytics
Fivetran
Apply
$116k – $195k per year · Remote (United States) · Full-Time · 5+ years exp · Bachelor's Degree · Austin · Atlanta
Python
Go
PHP
Ruby
AI/ML
LangGraph
LangChain
Model Context Protocol
Prompt Engineering
Function Calling
AI Agents
LangSmith
Semantic Kernel
Gemini
LLM
RAG
Google ADK
Braintrust
OpenAI
Anthropic
LLM Guardrails
Frontend
GraphQL
DevOps
Rest API
gRPC
Apply
≈ $44k – $79k per year (Estimated) · In office · Internship · Boise
Python
Java
MATLAB
Chips/EDA
Statistical Process Control
JMP
Analytics
Tableau
Life Sciences
Design of Experiments
Apply
$179k – $305k per year · In office · Full-Time · Bachelor's Degree · New York
AI/ML
AI Agents
LLM Guardrails
Machine Learning
Apply
$200k – $330k per year · In office · Full-Time · 10+ years exp · O'Fallon
Management
ITSM
Apply
$137k – $218k per year · In office · Full-Time · New York · Arlington
Design
Figma
Apply
$254k – $407k per year · In office · Full-Time · San Francisco · Atlanta · New York
Databases
Apache Kafka
AI/ML
Flink
DevOps
Kubernetes
Apply
$200k – $330k per year · In office · Full-Time · 12+ years exp · O'Fallon
Python
Go
Java
C#
DevOps
Azure
CI/CD
AWS
Kubernetes
Platform Engineering
Configuration Management
Pipeline as Code
Apply
In office · Contractor · New York
Apply
Remote (United States) · Freelance · New York
Apply
$126k – $209k per year · Hybrid · Full-Time · 5+ years exp · Bachelor's Degree · New York
Apply
$80k – $100k per year · Hybrid · Full-Time · Bachelor's Degree · New York
AI/ML
AI Agents
DevOps
Azure
Management
ITIL
Apply
$100k – $125k per year · Hybrid · Full-Time · Bachelor's Degree · New York
AI/ML
AI Agents
DevOps
AWS
Kubernetes
Management
Agile
Apply
See all jobs
This is one of many
2,175,720 more open roles from verified company boards, updated every day.