Lead Solution Architect

1 week ago

Minneapolis, Minnesota, United States Us Bank Full time

Company Overview

At U.S. Bank, we are committed to excellence. Our mission is to empower our customers and the businesses we serve to make informed financial choices while fostering the growth and success of the communities we support. We recognize that our collective ambition is realized through the unique potential of each individual. A career with U.S. Bank opens up a diverse array of opportunities for you to explore what drives your success at every stage of your professional journey. Embrace new challenges, acquire new skills, and uncover your strengths from Day One.

Position Overview

Team Dynamics

This team is dedicated to AI and Generative AI initiatives within Operations, forming part of our Process Transformation & Automation (PTA) division, which is integrated into our broader Operations Transformation & Enablement framework.

Role Responsibilities

The Principal Solution Architect will play a pivotal role in the swift execution of AI and Generative AI projects through the development of Proof-of-Concepts, pilots, and Minimum Viable Products (MVPs) in partnership with the AI Center of Excellence and technical teams. This position will oversee the implementation of AI solutions, convert business needs into effective architectural recommendations, collaborate with risk and compliance teams, and address integration requirements. You will work closely with PTA discovery teams and business stakeholders to assess feasibility and prioritize initiatives that drive business value. This role is crucial for the PTA in accelerating AI projects and achieving desired business results.

Key Responsibilities

  • Establish and direct the technical strategy and architectural vision for AI/ML/Generative AI, ensuring alignment with strategic objectives and automation initiatives.
  • Transform the aspirations of business leaders into actionable technical solutions while identifying misaligned projects and impractical use cases.
  • Contribute significantly to the design of a robust AI Engineering framework that facilitates the deployment, assessment, and management of machine learning models and Generative AI solutions.
  • Select suitable technologies from a range of open-source and commercial options, taking into account deployment strategies and integration with existing systems.
  • Engage with MLOps and LLMOps, emphasizing operational capabilities and infrastructure necessary for deploying and managing machine learning models and large language models.
  • Collaborate with Enterprise, Application, Data, and DevOps Architects, as well as Data Scientists, Machine Learning Engineers, and Business teams to pilot use cases and refine architectural designs.
  • Collect feedback from various stakeholders to ensure technical implementations align with current and future requirements.
  • Maintain relationships with key decision-makers, lead proposal development, and assist in pricing strategies.
  • Ensure the successful delivery of AI-driven applications using agile methodologies.
  • Review AI tools and practices across data, models, and software engineering, focusing on continuous improvement and feedback loops.
  • Contribute to the standardization of CI/CD pipelines, user and service roles, and methodologies for container creation, model consumption, testing, and deployment based on business and security needs.
  • Work in conjunction with security and risk leaders to anticipate and mitigate risks, ensuring ethical AI practices and compliance with emerging regulations.
  • Address potential challenges such as training data integrity, AI model security, and adversarial attacks.
  • Assist AI product managers and business stakeholders in understanding the capabilities and limitations of AI when developing new products.
  • Analyze client challenges and leverage leading technologies, analytical methods, tools, and operational models.
  • Create tools and capabilities that facilitate data ingestion, feature engineering, data management, and organization.
  • Design, implement, and sustain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of the machine learning infrastructure.

Qualifications

  • Bachelor's degree or equivalent professional experience.
  • A minimum of eight years of relevant experience.

Preferred Qualifications

  • Proven experience leading complex Generative AI architecture projects.
  • Familiarity with Azure and/or AWS, AND Large Language Models.
  • Experience in Enterprise Architecture and knowledge of architectural frameworks and methodologies.
  • Understanding of Cloud engineering, application architectures, application patterns, and domain-driven microservices.
  • Ability to influence technical teams and leadership on key engineering principles and drive alignment with modern technology practices.
  • Strong background in developing Proof of Concepts and architectural blueprints.

Work Environment

This position offers a hybrid/flexible work schedule, with an expectation of in-office presence for three or more days per week, along with the flexibility to work remotely on other days.

Benefits Overview

Our comprehensive approach to benefits and total rewards reflects our commitment to supporting our team members' overall well-being. Our benefits are designed to enhance your health, safeguard your financial security, and provide peace of mind. Benefits include (some may vary based on role, location, or hours):

  • Healthcare (medical, dental, vision)
  • Basic and optional term life insurance
  • Short-term and long-term disability coverage
  • Parental leave and pregnancy disability
  • 401(k) and employer-funded retirement plans
  • Paid vacation (ranging from two to five weeks based on salary grade and tenure)
  • Up to 11 paid holidays
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise mandated by law

Diversity and Inclusion

U.S. Bank is an equal opportunity employer dedicated to fostering a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability, or veteran status, among other factors.

Compliance and Verification

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.

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