Senior AI Platform Architect & Tech Strategist

Cass Information Systems; North Carolina; On-site; USD 140,000 - 210,000; Full time

Job summary

Cass Information Systems is seeking a Principal AI Software Architect to lead the design and deployment of AI-driven platforms and scalable software systems. You will mentor engineering teams, drive technical strategy, and ensure alignment with business goals across enterprise initiatives.

Responsibilities include cross-functional collaboration with product and business teams, evaluating AI technologies, and promoting best practices in MLOps, CI/CD, and DevOps within cloud environments

Qualifications

• Bachelor's degree or equivalent experience in CS/IS/CE.
• 7+ years of software architecture and engineering experience, with 2+ years in AI/ML.
• 5+ years with application development tools (e.g., Visual Studio .NET).
• 5+ years with relational DB tech (MS SQL Server).
• Experience deploying AI/ML at scale in cloud environments (Azure/AWS/GCP).
• Strong leadership, mentoring, and cross-functional collaboration.

Responsibilities

• Architects and leads AI-driven platforms and scalable software systems.
• Collaborates with engineering, product, and business teams to define use cases.
• Evaluates AI and software technologies for performance and maintainability.
• Establishes best practices in AI model development, MLOps, DevOps, and architecture.
• Mentors engineering teams to foster innovation and excellence.
• Drives technical strategy and aligns efforts with business objectives.

Skills

Leadership

Communication

Strategic thinking

Mentoring

Cross-functional collaboration

AI/ML leadership

Education

Bachelor's degree in Computer Science, Information Systems, or Computer Engineering or equivalent experience

Tools

Azure

AWS

GCP

Visual Studio .NET

MS SQL Server

CI/CD

DevOps

Job description

Cass Information Systems is seeking a Principal AI Software Architect to lead the design and deployment of AI-driven platforms and scalable software systems. You will mentor engineering teams, drive technical strategy, and ensure alignment with business goals across enterprise initiatives.

Responsibilities include cross-functional collaboration with product and business teams, evaluating AI technologies, and promoting best practices in MLOps, CI/CD, and DevOps within cloud environments