AI Engineering Specialist

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 Engineering Specialist

What does a successful AI Engineering Specialist do at Fiserv?

A successful AI Engineering Specialist at Fiserv builds the platforms, frameworks, and accelerators that help teams develop AI-powered solutions faster, more safely, and with greater consistency. This role connects modern software engineering practices with advanced AI capabilities to support scalable, high-impact delivery across the enterprise. The AI Engineering Specialist also helps shape technical standards, governance, and delivery practices that strengthen AI adoption at scale.

What you will do?

• Develop internal platforms, frameworks, accelerators, reusable libraries, templates, and toolkits for AI-powered solutions, including generative AI and large language model integrations.
• Design and implement build, deployment, evaluation, monitoring, and workflow pipelines for AI applications and ongoing solution improvement.
• Enable engineering teams with best practices in prompt engineering, Retrieval-Augmented Generation, security, reliability, and scalable AI development.
• Integrate AI solutions with APIs, microservices, enterprise applications, and data platforms to support enterprise-wide use cases.
• Define and document technical standards, architectural guidelines, observability practices, governance models, and knowledge assets that support scalable adoption and productivity.

What you must have?

• 3+ years of software engineering experience using Python or a similar programming language.
• 2+ years of experience developing APIs, microservices, and systems integrations.
• 1+ year of hands-on experience with pipelines, workflow automation, and CI/CD practices.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.

What would be nice to have?

• 1+ year of experience with generative AI, large language models, prompt engineering, Retrieval-Augmented Generation, or AI agents.
• 1+ year of experience building or evolving internal engineering platforms.
• Experience with 1 or more orchestration tools such as Airflow, Prefect, or Dagster.

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, Vermont, Virginia, Maine 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.

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