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:
#LI-MK1
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:
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.
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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.
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