At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

At U.S. Bank, we are committed to leveraging industry-leading technology to enhance our financial services. Our goal is to empower customers and businesses with advanced tools for smarter financial decision-making and to support community growth through innovative solutions. A career with U.S. Bank offers a dynamic environment where you can explore innovative technologies, develop technical skills, and excel in your field from Day One.

SUMMARY

We are seeking a highly skilled and experienced Machine Learning Architect to lead the development and optimization of advanced Data Science and AI Machine Learning systems. This role demands in-depth expertise in systems, GPU, performance engineering, enterprise security, big data, secure and scalable ML infrastructure, and advanced AI technologies. You will play a pivotal role in architecting and implementing reliable AI infrastructure to ensure scalability, security, and high-performance solutions.

JOB DESCRIPTION

The Machine Learning Architect is responsible for designing, optimizing, securing, and documenting enterprise-scale AI and data systems for the end-to-end technical integrity, performance, and reliability. This includes system-level performance tuning, robust ML infrastructure, and cloud architecture. The role ensures that all AI workflows meet enterprise standards for scalability, security, and operational excellence, while enabling innovation through AI technologies and best practices. This role is critical in bridging deep technical expertise with enterprise-scale AI execution, ensuring that AI systems are not only powerful but also reliable, secure, and future-ready.

KEY RESPONSIBILITIES

System Design and Implementation

-Design and implement scalable, high-performance architectures for machine learning, data science, and AI workflows.

- Develop programs to automate workflows, deployments, and monitoring for improved operational efficiency.

- Optimize GPU utilization and performance using CUDA and algorithmic optimization to accelerate machine learning workloads.

System Maintenance and Troubleshooting

- Diagnose and resolve issues related to Linux servers, networks, GPUs, cluster health, job failures, and performance bottlenecks to ensure system reliability and efficiency.

- Drive performance improvements across ML pipelines, inference engines, model serving frameworks (e.g., Triton, vLLM), and data processing layers.

- Develop and maintain reliable AI workflows with robust failover mechanisms to ensure uninterrupted operations in production environments.

Security and Compliance

- Implement enterprise-grade IAM authentication and authorization with Azure SSO, OIDC, Kerberos, and Active Directory, for ML APIs, model endpoints, and data platforms.

Migration and Integration

- Migrate existing AI applications on Cloudera Hadoop/Hive/Spark to Azure cloud services, ensuring data integrity, performance tuning, and validation.

Documentation and Collaboration

- Create and maintain documentation for system configurations, operational procedures, and troubleshooting knowledge bases to support knowledge sharing.

- Collaborate with cross-functional teams to translate business requirements into technical solutions and provide technical leadership and mentorship.

- Stay updated on emerging technologies in AI, machine learning, Big Data, system clustering, and enterprise security, and recommend their adoption where appropriate.

BASIC QUALIFICATIONS

- Advanced degree in Computer Science, Engineering, or related field.

- Deep expertise in AI technologies, synthetic data, automation, advanced analytics.

- 10+ years of hands-on experience in systems engineering, ML infrastructure, and performance optimization.

- Proficiency in Linux, clustering, and distributed systems.

- Expertise in GPU monitoring, GPU scheduling, CUDA, algorithmic optimization, and parallel computing.

- Proficiency in languages such as shell, Ansible, C/C++, Golang, Java, and Python for automating workflows, deployments, and monitoring.

- Deep understanding of Deep Learning, Computer Vision, LLMs, vector databases, and AI platforms (e.g., Pytorch, Huggingface).

- Experience in creating and maintaining documentation for system configurations, operational procedures, and troubleshooting knowledge bases.

- Strong problem-solving skills and the ability to diagnose and resolve system failures and performance bottlenecks.

- Excellent communication and collaboration skills to work effectively with cross-functional teams

PREFERRED SKILLS AND EXPERIENCES

- Proven track record delivering enterprise-scale AI product portfolios (preferably in top-tier financial services), including successful AI transformations in highly regulated environments.

- Deep understanding of banking, operations, risk, and compliance—pairing technical fluency with business and regulatory acumen.

- Hands-on experience with Hadoop, Hive, Spark, and migration of Big Data into Azure cloud services.

- Experience in cloud-native architectures (Azure/AWS), Kubernetes, Docker, and containerized ML workflows.

- Experience in implementing secure systems with secure API design, IAM integration, Kerberos, Active Directory, and Azure SSO.

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits: 

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

Healthcare (medical, dental, vision)

Basic term and optional term life insurance

Short-term and long-term disability

Pregnancy disability and parental leave

401(k) and employer-funded retirement plan

Paid vacation (from two to five weeks depending on salary grade and tenure)

Up to 11 paid holiday opportunities

Adoption assistance

Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.