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Chief Solution Architect for AI Projects

2 months ago

Minneapolis, Minnesota, United States Us Bank Full time

Company Overview

At U.S. Bank, we are committed to empowering our customers and the communities we serve. Our mission is to support informed financial decisions and foster growth and success in every endeavor. We recognize that our diverse team is essential to achieving our collective goals, and we value the unique contributions of each individual. A career with us offers a multitude of opportunities to explore your potential and develop your skills from the very beginning.

Position Overview

Team Dynamics

This team is dedicated to advancing AI and Gen AI projects within our Operations sector. It operates under the umbrella of our Process Transformation & Automation (PTA) division, which is a key component of our Operations Transformation & Enablement group.

Role Responsibilities

The Principal Solution Architect will spearhead the swift execution of AI and Gen AI initiatives through the development of Proof-of-Concepts, pilots, and Minimum Viable Products (MVPs). This role will collaborate closely with the AI Center of Excellence and technical teams to validate scalable solutions. You will be tasked with overseeing AI and Gen AI implementations, converting business needs into actionable solution architectures, coordinating with compliance and risk partners, and addressing integration requirements. Collaborating with PTA discovery teams and business stakeholders, you will provide insights on feasibility and help prioritize initiatives to maximize business value. This position is vital for the PTA in rapidly executing AI strategies and achieving desired business outcomes.

Key Duties

  • Establish and direct the technical trajectory and architectural framework for AI/ML/Gen AI, ensuring alignment with strategic objectives and automation initiatives.
  • Convert the strategic vision of business leaders into feasible technical implementations 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 Gen AI solutions.
  • Select suitable technologies from a diverse range of open-source and commercial options, taking into account deployment strategies and integration with existing systems.
  • Engage with MLOps and LLMOps to enhance operational capabilities and infrastructure for deploying and managing machine learning models and large language models.
  • Collaborate with Enterprise, Application, Data, and DevOps Architects, as well as Data Scientists and Machine Learning Engineers, to pilot use cases and refine architectural designs.
  • Gather insights from various stakeholders to ensure technical implementations meet 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.
  • Conduct audits of AI tools and practices across data, models, and software engineering, focusing on continuous improvement.
  • Contribute to the standardization of CI/CD pipelines, user roles, and containerization processes based on business and security needs.
  • Work in close partnership 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 threats.
  • Assist AI product managers and business stakeholders in understanding the capabilities and limitations of AI when developing new products.
  • Analyze client challenges and leverage advanced technology, analytical methods, tools, and operational models.
  • Develop tools and capabilities to facilitate data ingestion, feature engineering, and data management.
  • Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of 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 Gen 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, and domain-driven microservices.
  • Ability to influence engineering teams and leadership on critical engineering concepts and drive alignment with modern technology practices.
  • Strong background in developing Proof of Concepts and architectural blueprints.

Work Environment

This role offers a hybrid/flexible work schedule, requiring in-office attendance for three or more days per week, with the option to work remotely on other days.

Benefits Overview

Our benefits package is designed to support the well-being of our team members and their families, promoting health, financial security, and peace of mind. Benefits include:

  • Comprehensive healthcare (medical, dental, vision)
  • Life insurance options
  • Short-term and long-term disability coverage
  • Parental leave and pregnancy disability benefits
  • 401(k) and employer-funded retirement plans
  • Paid vacation (ranging from two to five weeks based on tenure)
  • Up to 11 paid holidays annually
  • Adoption assistance
  • Sick and Safe Leave accruals

Diversity Commitment

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

Compliance Statement

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program for employment eligibility verification.