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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ArtificiaI Intelligence (AI) Operations Specialist - **Company:** Bread Financial - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $87,900.0 - $198,900.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Build Automation, Continuous Delivery, Continuous Integration, Information Engineering, DevOps, Python (Programming Language), Machine Learning, Release Management, Software Deployment, Software Engineering, Delivery Pipeline, Large Language Models, Information Technology, Machine Learning Operations, Devsecops, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0e782dec5bc7db8e ## About the Role * Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, or Computer Science. * 2+ years of experience in AI Ops, ML engineering, data science, data engineering, DevOps, analytics, or related fields., * 3+ years of experience in AI Ops, ML engineering, data science, data engineering, DevOps, analytics, or related fields. * Experience building reusable Python components, libraries, or packages to support scalable ML/LLM deployment workflows. * Demonstrated ability to communicate technical concepts to less-technical audiences, including educating stakeholders on ML Ops best practices and solution capabilities. * Experience working in highly regulated environments (financial services preferred) with familiarity in data privacy, compliance, and governance considerations for AI/ML deployments. Skills * Artificial Intelligence Technologies * AWS Cloud Computing * Databricks Platform * DevSecOps * Machine Learning Operations * MLflow * Python (Programming Language) * Software Engineering Principles, * Ability to travel up to 5% quarterly ## Description The AI Operations Specialist will design and implement productionized Artificial Intelligence (AI) solutions to solve business problems. This role will work closely with our data science teams and other stakeholders to enable the integration of AI/ML models into business processes. These solutions will be scalable, resilient, and secure. The AI Operations Specialist will maintain CI/CD pipelines, productionize models (ML/DL/LLM), and develop integration code needed to deploy AI solutions. Essential Job Functions * Design and implement productionized models (ML/DL/LLM) solutions that are scalable, resilient, and secure. Evaluate and optimize the data science methodology needs while meeting the non-functional requirements of the business process. - (30%) * Monitor and maintain the performance of deployed models. Monitor production performance and provide recommendations for maximizing ML/LLM configurations and performance. Assist tool/platform admins with health and maintenance of the ecosystem. - (35%) * Develop and maintain release pipelines for data science teams that support Continuous Integration (CI), 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. - (20%) * Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks & issues. - (10%) * Keep up-to-date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends. - (5%) ## Related Videos - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [DevSecOps: Security in DevOps](https://www.wearedevelopers.com/videos/36-devsecops-security-in-devops) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)