Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
AI ArchitectAbout your role:
As an AI Architect at Fiserv, you will lead the design, development and deployment of intelligent automation solutions for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secured environment. This role combines deep AI/ML expertise with data engineering/science knowledge.
What you will do:
AI-Driven Automation: Design and implement AI/ML models to automate product configuration, customization, and estimation processes.
Research and Innovation: Stay updated with the latest AI technologies, tools, and trends to continuously improve and innovate Fiserv’s data conversion processes.
Documentation: Maintain comprehensive documentation of AI solutions, methodologies, and deployment processes.
Data Handling: Work with large datasets, ensuring the integrity and security of sensitive information during the conversion process.
Secure Environment Compliance: Develop and deploy AI solutions in accordance with Fiserv’s security protocols, ensuring all processes meet compliance standards.
Collaboration: Work closely with cross-functional teams including data scientists, software engineers, and business analysts to create integrated AI solutions.
Testing and Validation: Conduct rigorous testing and validation of AI models to ensure accuracy and reliability.
Performance Optimization: Continuously monitor and optimize AI models for efficiency and performance improvements. Perform application scoring and data aggregation
What you will need to have:
Hands-on Experience: 8+ years of experience in developing and deploying AI solutions.
Programming Skills: 8+ years of experience in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#.
Machine Learning Frameworks: 3+ years of experience with with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable.
Data Handling and Processing: 3+ years of experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial.
Deep Learning: 3+ years of experience with deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more.
Software Development Practices: 3+ years of experience with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models.
Cloud Computing: 3+ years of experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment.
System Design: 3+ years of experience in designing scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications.
Problem-Solving: Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation.
Collaboration and Communication: Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives.
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field; or equivalent work experience.
What would be nice to have:
Experience in the Financial Services Industry and an understanding of relevant compliance standards and regulations.
Certification in AI/ML or relevant technologies.
Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI
Important information about this role:
- This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
- You must currently possess valid and unrestricted U.S. work authorization to be considered for this role. Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or TN, or any candidate requiring sponsorship, now or in the future, will not be considered for this role.
- This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
- All offers of employment are contingent on standard background checks. Fiserv and certain of its affiliated companies are federal, state, and/or local government contractors. Should this position support a Federal Government contract, now or in the future, the successful candidate will be subject to a background check conducted by the U.S. Government to determine eligibility and suitability for federal contract employment for public trust or sensitive positions. Positions that support state and/or local contracts also may require additional background checks to determine eligibility and suitability.
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This role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Illinois, Massachusetts, Maryland, Minnesota, New Jersey, New York, Nevada, Rhode Island or Washington.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
Please note that salary ranges provided for this role on external job boards are salary estimates made by outside parties and may not be accurate.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact [email protected]. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv’s Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
Skills Required
- 5-7+ years of experience in developing and deploying AI solutions
- Proficiency in Python, JS/NodeJS, and .NET Framework/Core C#
- Familiarity with ML frameworks such as TensorFlow, PyTorch, Keras, or Scikit-Learn
- Experience with data manipulation using Pandas or NumPy
- Knowledge of deep learning concepts and architectures
- Familiarity with software development methodologies and version control
- Experience with cloud-based services like AWS, Google Cloud, Azure
- Ability to design scalable AI systems
- Strong analytical and problem-solving skills
- Experience collaborating with cross-functional teams
Fiserv Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fiserv and has not been reviewed or approved by Fiserv.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical, dental, and vision options alongside disability, life, and mental-health support resources. The offering is further reinforced by wellness programming and access to an employee assistance program with counseling.
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Leave & Time Off Breadth — Time-off support appears broad, including paid holidays, sick time, and policies framed as well-being or recharge time. Parental leave and other leave types such as bereavement are also described as part of the overall package.
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Retirement Support — Retirement benefits include a 401(k) plan with company matching and, for some legacy populations, access to a defined benefit pension plan. Equity-related programs such as an employee stock purchase plan are also described as available for eligible employees.
Fiserv Insights
What We Do
Fiserv, Inc. (NYSE: FI) is a leading global provider of payments and financial services technology solutions, driving innovation in payments, processing services, risk and compliance, customer and channel management, and business insights and optimization. For more information, visit www.fiserv.com.
Why Work With Us
As a global leader in payments and financial technology, we proudly serve clients in more than 100 countries. As one of Fortune® magazine's "World's Most Admired Companies™" 9 of the last 10 years, one of Fast Company’s Most Innovative Companies, and a top scorer on Bloomberg’s Gender-Equality Index, we are committed to innovation and excellence.
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