Sr. Enterprise AI Architect (Remote / Hybrid) at UMB Bank in Boise, Idaho, United States Job Description The Enterprise Architecture team is comprised of Enterprise and Solution architects playing a critical role in providing enterprise-level project solutions and strategies. We collaborate with the business and IT subject matter experts across application, data, security, and infrastructure teams turning vision into modern industry standard solutions and roadmaps. As a Senior Enterprise AI Architect, you will spearhead our Artificial Intelligence (AI) and machine learning initiatives, designing comprehensive solutions, and leading their execution. Your role involves close collaboration with diverse teams, ensuring that our AI and machine learning technologies seamlessly enhance our products and services, driving innovation and value. This includes engaging with leadership to identify business and technology-enabled innovation opportunities that enable and drive business outcomes. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by IT leadership. This role is hybrid (Tue & Wed on-site) for candidates in Kansas City metropolitan area and open to qualified remote candidates outside of Kansas City area but only within the US. How you’ll spend your time: + Design and lead the implementation of AI and machine learning solutions aligned with business objectives. + Develop architectural blueprints ensuring the integrity and scalability of AI and machine learning systems. + Collaborate with stakeholders for the seamless integration of AI and machine learning technologies. + Evaluate and incorporate new tools and technologies pertinent to AI and machine learning. + Provide leadership and mentorship within the AI and machine learning domains. We’re excited to talk with you if: + You have a Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent work experience. + You have at least 10 years of experience in IT, with at least 5 years of in-depth experience in AI and machine learning algorithms and principles. + You have expertise in architectural design for AI and machine learning systems. + You have deep understanding of supervised, unsupervised, and reinforcement learning algorithms, including the ability to implement and modify algorithms such as decision trees, neural networks, anomaly detection, clustering, regression, and classification models. + You have expertise in constructing and training deep neural networks, understanding architectures like CNNs, RNNs, LSTMs, and GANs, including experience with computer vision and image processing tasks. + You have in-depth experience in data structures, algorithms, and system design. + You understand ethical considerations in AI, bias detection and mitigation, and compliance with data privacy laws and standards like GDPR. + You have proficiency in programming languages such as Python, Java and R. + You are proficient in data analytics, model development, and deployment. + You bring a mix of creative and analytical skills to broadly design enterprise solutions. Bonus Points If: + You have banking or financial industry experience. Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position. Compensation Range: Minimum: $99,750.00 – Maximum: $257,250.00 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. UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. 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 to let us know the nature of your request. If you are a California resident, please visit our Privacy Notice for California Job Candidates ( to understand how we collect and use your personal information when you apply for employment with UMB. Who we are We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB’s vision (Check out the road to a career at UMB To view full details and how to apply, please login or create a Job Seeker account
data-structures Data Analyst Artificial intelligence (AI) Python R Deep Neural Network (DNN) programming-languages cluster-analysis unsupervised-learning image-processing Machine Learning Java supervised-learning regression neural-network ML models deployment GDPR algorithms computer-vision system-design