13,814 AI Application Developer jobs in the United States

**Job Description**
We are seeking an experienced GenAI Application Developer to join our team. The successful candidate will be responsible for designing, developing, and deploying GenAI-powered applications that meet our business needs. The ideal candidate will have a background in software development, machine learning, and AI technologies.
**Key Responsibilities:**
+ Design, develop, and deploy GenAI-powered applications using machine learning frameworks and tools
+ Collaborate with cross-functional teams to identify business problems and develop AI solutions
+ Work with data scientists to integrate GenAI models into applications
+ Develop and maintain large-scale AI systems, ensuring scalability, reliability, and performance
+ Ensure the security and compliance of GenAI-powered applications
+ Stay up-to-date with emerging AI technologies and trends
**Required Education, Experience, & Skills**
+ Bachelor s Degree in an engineering field or technical discipline and 4-6 years of experience
+ Experience in software development, with a focus on machine learning and GenAI
+ Proficiency in programming languages such as Python, Java, or C
+ Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
+ Strong understanding of software development principles, including version control and testing
+ Experience using low code platforms such has Stack AI
**Preferred Education, Experience, & Skills**
+ Technical Master's degree in Engineering, Computer Science, Software Engineering, or related field
+ Experience with cloud platforms (e.g., AWS, Azure, Google Cloud, Salesforce, or IBM Cloud)
+ Experience with DevOps tools, such as Docker, Kubernetes, or Jenkins
**Pay Information**
Full-Time Salary Range: $ - $
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
**AI Application Developer**
** BR**
EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression

Interview : Video

This is hybrid from day-1 ( Need only local candidates )

Visa : USC, GC, GC EAD, H4, L2

Description:
Position Description:

Our Automotive client is seeking a highly skilled and motivated Application Developer with expertise in Artificial Intelligence and Machine Learning (AI/ML) to join our agile product development team. In this role, you will collaborate closely with product managers and owners to translate business needs into actionable user stories, and work alongside software engineers to build and enhance AI/ML platforms and tools.

You will be instrumental in defining best practices, solving complex technical challenges, and delivering high-quality solutions that meet customer requirements. This role emphasizes paired programming, continuous learning, and agile methodologies to drive innovation and speed of delivery.

Key Responsibilities:

• Lead the development of new software using Java and modern technologies.
• Collaborate in a fast-paced Agile team environment.
• Translate business value into user stories and technical tasks.
• Write clean, testable code and conduct code reviews.
• Design and develop real-time and batch interfacing solutions with web and client-server applications.
• Participate in iteration planning, demos, and paired programming sessions.
• Contribute to the development and deployment of machine learning tools and DevOps practices.
• Define and promote coding standards and development best practices.
• Identify risks and provide technical education to business stakeholders.

Required Skills:

• Proficiency in Java, JavaScript, React, Angular, Spring Boot, SQL, and Postgres.
• Experience with AI/ML model development using open-source frameworks.
• Strong understanding of CI/CD pipelines and test-driven development.
• Familiarity with Python, Jenkins, Hadoop, BigQuery, Kafka, REST APIs, and Kubernetes.
• Experience in building and deploying AI/ML platforms and tools.

Required Experience:

• 5+ years of software development experience with the technologies listed above.
• 2+ years of hands-on experience in machine learning model development and deployment.
• Proven track record of working in Agile development environments.

Education:

• Bachelor's or Master's degree in Computer Science or a related field.

Status Category:
Full-Time

Exempt/Non-Exempt:
Exempt

Job Code:
IT176

CBIZ, Inc. is a leading professional services advisor to middle market businesses and organizations nationwide. With unmatched industry knowledge and expertise in accounting, tax, advisory, benefits, insurance, and technology, CBIZ delivers forward-thinking insights and actionable solutions to help clients anticipate what's next and discover new ways to accelerate growth. CBIZ has more than 10,000 team members across more than 160 locations in 22 major markets coast to coast.

CBIZ strives to be our team members' employer of choice by creating an environment where team members are appreciated, recognized for their contributions, and provided with opportunities to grow, both personally and professionally, throughout their careers.

Together, CBIZ and CBIZ CPAs are ranked as one of the top providers of accounting services in the United States. CBIZ CPAs is an independent CPA firm that provides audit, review and attest services, while CBIZ provides business consulting, tax and financial services. In certain jurisdictions, CBIZ CPAs operates under its previous name, Mayer Hoffman McCann P.C.

CBIZ is currently looking for a Senior AI Full Stack Application Developer to join their product development team and focus on designing, building, and scaling AI-driven products. This role is ideal for a highly skilled full stack engineer with deep expertise in the Microsoft .NET ecosystem (C#, .NET) and proficiency in modern web technologies, such as React and Angular. As a senior member of our team, you will play a critical role in shaping and delivering value to our product offerings by integrating AI capabilities, ensuring scalability and performance, and driving best practices across the stack. You will also cross-functionally collaborate with our data scientists, analysts, and developers to ensure our solution delivers measurable value to our customers.

Visa Sponsorship is not available for this job opportunity.

Essential Functions and Primary Duties

• Design & Development : Architect, design, and implement full-stack AI applications using .NET and modern front-end frameworks.
• AI Integration : Implement AI/ML models and algorithms into .NET applications to improve business processes, analytics, and user experiences.
• Front-End Leadership : Provide expertise in modern front-end development, with a preference for React, to deliver seamless and scalable user interfaces.
• Agile Delivery : Work within an Agile software development framework, contributing to sprint planning, iterative product delivery, and continuous improvement.
• Customer Value : Focus on delivering features and solutions that provide measurable value to end-users and stakeholders, particularly in commercial product settings.
• Cross-Functional Collaboration : Partner with data scientists, analysts, and other developers to deliver secure, efficient solutions.
• Code Quality : Write clean, maintainable, and testable code following modern design principles and best practices.
• Innovation & Strategy : Ability to articulate architecture and design recommendations to leadership and contribute to the firm's AI strategy.
• Continuous Improvement : Stay current on AI advancements, .NET releases, and front-end frameworks to keep our technology stack modern and effective.
• Documentation : Maintain technical documentation, versioning, and knowledge transfer materials.

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, AI, Engineering, MIS, or related technical field.
• 10+ years of professional full-stack development experience with Microsoft .NET technologies (C#, ASP.NET, .NET Core, Entity Framework).
• Proficiency in modern web technologies (JavaScript, TypeScript, HTML5, CSS3); React proficiency strongly preferred.
• Experience designing and integrating AI/ML models into .NET applications.
• Familiarity with Agile methodologies (Scrum, Kanban, or SAFe) and experience delivering incremental value to customers in product development environment.
• Knowledge of SQL, NoSQL, and vector databases, including schema design and optimization.
• Familiarity with scalable architectures, secure coding practices, and cloud platforms (Azure preferred).
• Strong grasp of software design principles and patterns (SOLID, DDD, CQRS, Onion/Clean Architecture, Dependency Injection, IoC).
• Strong ability to articulate and communicate technical concepts to both technical and non-technical stakeholders.

• Experience in the accounting or financial sector is a plus.

The annual salary target for this job in this market is $100,000- $120,000. The specific compensation for this role will be determined based on the education, experience, and skill set of the individual selected for this position. The compensation above is not representative of an employee's total compensation.

Beyond income, you have access to comprehensive medical and dental insurance, retirement savings, life and disability insurance, health care and dependent care reimbursement accounts, certification incentives, education assistance, referral program and much more. The application window is anticipated to close on or before October 31st, 2025.

#LI-CF2 #LI Hybrid

CBIZ.Jobs Category: Operations

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EQUAL OPPORTUNITY EMPLOYER

CBIZ is an equal opportunity employer and reviews applications for employment without regard to the applicant's race, color, religion, national origin, ancestry, age, gender, gender identity, marital status, military status, veteran status, sexual orientation, disability, or medical condition or any other reason prohibited by law. If you would like more information about your EEO rights as an applicant under the law, please visit Know Your Rights.

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CBIZ does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of CBIZ. CBIZ will have the right to hire that applicant at its discretion and without any fee owed to submitting staffing/employment agency, person or entity.

Our client is excited to offer a fully remote Graduate Software Engineer internship opportunity, focusing on cutting-edge Artificial Intelligence development. This position is perfect for ambitious students or recent graduates eager to gain hands-on experience in a fast-paced, innovative environment. You will work alongside a team of experienced AI researchers and engineers, contributing to the development of machine learning models, natural language processing systems, and data analytics tools. Responsibilities include coding, debugging, testing, and documenting software solutions, as well as participating in design discussions and contributing to research initiatives. You will have the opportunity to work with various AI frameworks and programming languages, such as Python, TensorFlow, and PyTorch. The role requires a strong foundation in computer science principles, algorithms, and data structures. Excellent problem-solving skills, a keen eye for detail, and a passion for AI and machine learning are essential. Candidates should be pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, with a demonstrated interest in AI. Previous project experience or coursework in AI/ML is highly desirable. This is a remote-first opportunity, allowing interns to collaborate effectively from anywhere in the US. We provide mentorship and learning opportunities to help you grow your technical skills and build a strong foundation for your career in software engineering.
This internship is fully remote and based out of Boston, Massachusetts, US .

Our client is excited to offer an exceptional opportunity for a motivated Graduate Software Engineer to join their cutting-edge AI Development team. This is a hybrid internship role, providing valuable hands-on experience and mentorship, combining remote work flexibility with periodic in-office engagement in Sacramento, California, US . You will contribute to the design, development, and testing of advanced artificial intelligence and machine learning models and applications. The ideal candidate is a recent graduate with a strong academic foundation in computer science or a related field, a passion for AI, and foundational programming skills. This internship is designed to provide a comprehensive learning experience, exposing you to real-world challenges and the latest technologies in AI development.

Responsibilities:

• Assist in the design, coding, and implementation of AI algorithms and machine learning models.
• Support the development of data pipelines and preprocessing techniques for AI applications.
• Collaborate with senior engineers and researchers to test and validate AI models.
• Contribute to the documentation of code, algorithms, and project progress.
• Participate in team meetings, code reviews, and brainstorming sessions.
• Research and learn new AI technologies, frameworks, and methodologies.
• Assist in the development of user interfaces or APIs for AI-powered features.
• Troubleshoot and debug software issues related to AI implementations.
• Gain practical experience with cloud platforms and AI development tools.
• Work on assigned tasks and projects within a supportive team environment.
• Help prepare data for training and evaluation of machine learning models.
• Contribute to the overall success of the AI development projects.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong understanding of programming fundamentals and data structures.
• Proficiency in at least one programming language such as Python, Java, or C++.
• Familiarity with AI concepts, machine learning principles, and common algorithms.
• Exposure to AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• Ability to work effectively in a hybrid environment.
• A genuine passion for artificial intelligence and its applications.

This is an unparalleled opportunity for aspiring AI engineers to kickstart their careers with a leading organization in Sacramento, California, US .

**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 Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
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 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.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD

**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 Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
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 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.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD

**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 Development Engineer
Overview:
The Director - AI Development Engineering leads the end-to-end delivery of AI use cases within the AI Center of Excellence. Acting as the technical face of each initiative, this role partners with business stakeholders, data and platform teams, and compliance functions to translate strategy into scalable, secure solutions. The Director builds and manages a high-performing engineering team, delivering AI systems using both low-code and pro-code platforms. Success is measured by business value realization, solution adoption, quality, and speed to market.
The Role:
- Own and execute a multi-quarter roadmap for AI capabilities across diverse use cases.
- Lead engineering teams delivering AI solutions using low-code (Copilot Studio, Power Platform) and pro-code (Databricks, Azure, AWS) platforms.
- Act as technical liaison with business sponsors; drive discovery, requirements, and solution design.
- Provide executive-level updates on progress, risks, and value, influence decisions with data.
- Architect solutions aligned with enterprise standards; promote reuse via reference architectures and shared components.
- Implement enterprise-grade SDLC and MLOps practices: CI/CD, automated testing, model registry, version control.
- Ensure reliability through monitoring, observability, and incident response for models, pipelines, and applications.
- Integrate AI systems with enterprise data platforms, APIs, identity, and security controls.
- Guide teams on LLM and classical ML patterns (e.g., RAG, evaluation, guardrails); balance low-code and pro-code approaches.
- Embed Responsible AI, privacy, and model risk management throughout the delivery lifecycle.
- Hire, mentor, and retain top engineering talent; manage vendors and foster a learning culture.
- Define and track OKRs; continuously improve velocity, deployment frequency, and change failure rates.
All About You:
- Bachelor's or Master's in Computer Science, Engineering, or related field; advanced degrees (MS/PhD or MBA) preferred.
- Proven leadership in delivering enterprise-scale AI/ML solutions across software, data, and platform engineering.
- Hands-on experience with low-code tools (Power Platform, Copilot Studio) and pro-code environments (Databricks, AWS, Azure).
- Deep expertise in MLOps/LLMOps: CI/CD, automated testing, model/version registry, evaluation frameworks, and guardrails.
- Strong understanding of enterprise architecture (APIs, microservices, event-driven systems) and data platforms (Delta Lake, feature stores).
- Skilled in cloud infrastructure (Azure, AWS), containerization (Docker, Kubernetes), and observability (logs, metrics, tracing).
- Experience with Responsible AI, identity and access management, data protection, and integration with vector databases and enterprise apps.
- Effective communicator and strategic leader with experience in regulated environments, stakeholder alignment, and team development.
#AI1
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 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.
**Pay Ranges**
O'Fallon, Missouri: $165,000 - $64,000 USD
Atlanta, Georgia: 165,000 - 264,000 USD
Austin, Texas: 165,000 - 264,000 USD

Our client, a cutting-edge technology firm at the forefront of artificial intelligence research and development, is offering a unique Senior AI Development Apprentice position based in Boston, Massachusetts, US . This is an exceptional opportunity for highly motivated individuals with a foundational understanding of programming and a burning passion for AI to accelerate their careers. Under the guidance of leading AI scientists and engineers, you will gain hands-on experience in developing, training, and deploying sophisticated AI models and algorithms. You will work on real-world projects, contribute to groundbreaking research, and develop specialized skills in areas such as machine learning, deep learning, natural language processing, and computer vision. This program is designed to transform talented individuals into highly proficient AI developers.

Program Highlights:

• Intensive, hands-on training in core AI concepts and technologies.
• Direct mentorship from experienced AI professionals and researchers.
• Involvement in cutting-edge AI projects from ideation to implementation.
• Exposure to a wide range of AI domains, including machine learning, deep learning, NLP, and computer vision.
• Development of practical skills in programming languages like Python, R, and relevant AI frameworks (TensorFlow, PyTorch).
• Contribution to building innovative AI solutions for diverse applications.
• Opportunity to present findings and contribute to internal knowledge sharing.
• Pathways for continued growth and specialization within the AI field.
• Collaborative and intellectually stimulating work environment.

Ideal Candidate Profile:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent demonstrable experience.
• Solid understanding of programming fundamentals, preferably in Python.
• Demonstrated interest and foundational knowledge in Artificial Intelligence, Machine Learning, or Data Science (coursework, personal projects, internships).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Self-motivated, curious, and eager to learn rapidly.
• Ability to work effectively in a fast-paced, collaborative environment.
• Prior internship or project experience in software development or data analysis is a plus.

This apprenticeship is an ideal launchpad for a career in the exciting field of AI, with your training base in Boston, Massachusetts, US .