UMB Bank
UMB’s
Artificial Intelligence (AI)
team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.
How You’ll Spend Your Time
Develop and deploy cloud-native infrastructure and services to support AI/ML workloads.
Automate provisioning and management of AI cloud environments using Infrastructure-as-Code (IaC) tools.
Build pipelines for model training, testing, and deployment leveraging MLOps best practices.
Collaborate with AI Cloud Architect to ensure secure and compliant designs that meet regulatory standards.
Implement monitoring, logging, and cost-optimization strategies for AI workloads.
Develop solutions for high-performance computing, GPU/TPU utilization, and distributed AI systems.
Support integration of AI services into banking platforms, payment hubs, and customer-facing applications.
Troubleshoot performance and scalability issues in cloud-based AI environments.
Contribute to disaster recovery and resiliency strategies for AI workloads.
Stay current with emerging cloud AI technologies, tools, and practices.
We’re excited to talk with you if
You have a Bachelor’s degree in Computer Science, Cloud Computing, or related field and at least 3 years of experience in cloud development or infrastructure engineering, OR equivalent combination of education and work experience.
You have proficiency with at least one major cloud platform (AWS, Azure, GCP).
Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, Bicep).
Familiarity with deploying and scaling containerized applications (Docker, Kubernetes).
Proficiency in scripting and development languages (Python, Go, Java, or Node.js).
Understanding of cloud networking, IAM, and security best practices.
Familiarity with AI/ML services (AWS SageMaker, Azure AI, GCP Vertex AI).
Experience with CI/CD pipelines and DevOps tooling (GitHub Actions, Jenkins, GitLab CI).
Bonus Points If
You have a Master’s degree in Computer Science, Software Development, or related discipline and at least 5 years of experience in cloud engineering or development within financial services.
You have any of the following certifications: AWS Certified Developer – Associate, Google Professional Cloud Developer, Microsoft Azure Developer Associate.
You have experience building MLOps pipelines and deploying AI/ML models at scale.
You have a background in regulated industries with knowledge of compliance and security practices.
You have experience with GPU/TPU optimization for AI training workloads.
You have knowledge of observability tools (Prometheus, Grafana, Datadog) for cloud AI systems.
You have familiarity with distributed data frameworks (Spark, Ray) and streaming platforms (Kafka, Pub/Sub).
You have understanding of privacy-preserving technologies and secure multi-cloud integration.
You have exposure to hybrid cloud and edge AI deployment patterns.
Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Compensation Range $69,230.00 – $149,000.00
The posted compensation range on this listing represents UMB’s standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information.
Are you ready to be part of something more? You’re more than a means to an end—a way to help us meet the bottom line. UMB isn’t comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You’ll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.
UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e‑mail to talentacquisition@umb.com to let us know the nature of your request.
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Artificial Intelligence (AI)
team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.
How You’ll Spend Your Time
Develop and deploy cloud-native infrastructure and services to support AI/ML workloads.
Automate provisioning and management of AI cloud environments using Infrastructure-as-Code (IaC) tools.
Build pipelines for model training, testing, and deployment leveraging MLOps best practices.
Collaborate with AI Cloud Architect to ensure secure and compliant designs that meet regulatory standards.
Implement monitoring, logging, and cost-optimization strategies for AI workloads.
Develop solutions for high-performance computing, GPU/TPU utilization, and distributed AI systems.
Support integration of AI services into banking platforms, payment hubs, and customer-facing applications.
Troubleshoot performance and scalability issues in cloud-based AI environments.
Contribute to disaster recovery and resiliency strategies for AI workloads.
Stay current with emerging cloud AI technologies, tools, and practices.
We’re excited to talk with you if
You have a Bachelor’s degree in Computer Science, Cloud Computing, or related field and at least 3 years of experience in cloud development or infrastructure engineering, OR equivalent combination of education and work experience.
You have proficiency with at least one major cloud platform (AWS, Azure, GCP).
Experience with Infrastructure-as-Code tools (Terraform, CloudFormation, Bicep).
Familiarity with deploying and scaling containerized applications (Docker, Kubernetes).
Proficiency in scripting and development languages (Python, Go, Java, or Node.js).
Understanding of cloud networking, IAM, and security best practices.
Familiarity with AI/ML services (AWS SageMaker, Azure AI, GCP Vertex AI).
Experience with CI/CD pipelines and DevOps tooling (GitHub Actions, Jenkins, GitLab CI).
Bonus Points If
You have a Master’s degree in Computer Science, Software Development, or related discipline and at least 5 years of experience in cloud engineering or development within financial services.
You have any of the following certifications: AWS Certified Developer – Associate, Google Professional Cloud Developer, Microsoft Azure Developer Associate.
You have experience building MLOps pipelines and deploying AI/ML models at scale.
You have a background in regulated industries with knowledge of compliance and security practices.
You have experience with GPU/TPU optimization for AI training workloads.
You have knowledge of observability tools (Prometheus, Grafana, Datadog) for cloud AI systems.
You have familiarity with distributed data frameworks (Spark, Ray) and streaming platforms (Kafka, Pub/Sub).
You have understanding of privacy-preserving technologies and secure multi-cloud integration.
You have exposure to hybrid cloud and edge AI deployment patterns.
Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Compensation Range $69,230.00 – $149,000.00
The posted compensation range on this listing represents UMB’s standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information.
Are you ready to be part of something more? You’re more than a means to an end—a way to help us meet the bottom line. UMB isn’t comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You’ll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.
UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e‑mail to talentacquisition@umb.com to let us know the nature of your request.
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