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Job Summary

The AI Operations Specialist, 2 is responsible for designing and implementing productionized Artificial Intelligence (AI) solutions to solve business problems. This role works closely with our data science teams and other stakeholders to enable the integration of AI/ML models into business processes. These solutions need to be scalable, resilient, and secure. This role also maintains CI/CD pipelines, productionizes models (ML/DL/LLM), and develops integration code needed to deploy AI solutions.

 

Essential Job Functions

• Design and implement productionized model (ML/DL/LLM) solutions that are scalable, resilient, and secure. Evaluate and optimize data science methodology needs while meeting the non-functional requirements of the business process.

• Monitor and maintain the performance of deployed models. Monitor production performance and provide recommendations for maximizing ML/LLM configurations and performance. Support tool and platform administrators in maintaining the health and functionality of the ecosystem.

• Create and manage release pipelines for data science teams that facilitate Continuous Integration (CI), and Continuous Deployment (CD). Automate build and deployment procedures to streamline delivery. Schedule and validate all production deployments. Partner with Release Management, Infrastructure, DevOps, etc. to ensure a smooth and successful deployment.

• Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks and issues.

• Keep up to date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends.

Minimum Qualifications

• Bachelor’s Degree in Computer Science, Engineering, or related field of study.

• 2+ years experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields, with a focus in retail financial services or information technology fields utilizing agile methodologies.

Preferred Qualifications

• 5+ years of experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields.

Skills

• DevOps

• ServiceNow Platform

• Azure Devops

• MLflow

• Apache Airflow

• Application Programming Interface (API)

• Docker (Software)

• GitHub

• Data Analysis

• Microsoft Excel

• Agile Environments

• JIRA Tool

Reports To: Manager and above

Direct Reports: 0

Work Environment

• Normal office environment (Hybrid), 6 to 8 days per month are required in the office.

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

About Bread Financial®

At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We’ve been consistently recognized as a best place to work nationally and in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial® (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers. Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through our co-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers. Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life.

 

Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress, visit breadfinancial.com or follow us on Instagram and LinkedIn.

• All job offers are contingent upon successful completion of credit and background checks.

• Bread Financial is an Equal Opportunity Employer.

Job Family:

Data and Analytics

Job Type:

Regular