Q

Q2

Digital banking platform for community institutions

Emerging Technology Architect

Software EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listed

About the Job

Requirements

  • Typically requires a bachelor's degree in a relevant degree field and a minimum of 12 years of related experience; or an advanced degree with 8 or more years of experience; or equivalent related work experience.
  • Strong understanding of enterprise architecture principles, system design, integration patterns, and scalable delivery models.
  • Demonstrated experience with artificial intelligence and machine learning technologies, including large language models, retrieval-augmented generation, vector databases, intelligent agents, and cloud-based artificial intelligence platforms such as Amazon Web Services or Microsoft Azure, or equivalent platforms.
  • Experience partnering with business and technical stakeholders to define practical solutions for complex organizational needs.
  • Ability to evaluate ambiguous problems, structure recommendations, and communicate trade-offs clearly to technical and non-technical audiences.
  • Demonstrated judgment in balancing innovation, security, governance, cost, and operational feasibility.
  • Strong collaboration skills and ability to influence across teams and organizational boundaries without direct authority.
  • Working knowledge of responsible technology adoption, artificial intelligence governance, risk management, access controls, and enterprise control environments.
  • Fluent written and oral communication in English.
  • Must be authorized to work for any employer in the United States.

Responsibilities

  • Design enterprise artificial intelligence solution patterns that align business needs with scalable, secure, and maintainable implementation approaches.
  • Collaborate with cross-functional teams to translate complex business challenges into structured architecture recommendations.
  • Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and operational adoption of artificial intelligence systems.
  • Define reusable frameworks and standards that improve delivery consistency and accelerate adoption across teams and use cases.
  • Evaluate solution options, assess trade-offs, and provide recommendations that balance performance, cost, risk, and business value.
  • Guide teams through architecture decisions that support responsible artificial intelligence adoption and long-term maintainability.
  • Promote best practices, shared patterns, and practical governance approaches across engineering and business teams to influence organizational direction.
  • Stay current on emerging artificial intelligence and enterprise technology practices and assess their applicability to organizational priorities.
  • Design and evolve enterprise artificial intelligence systems and architectures that enable scalable, secure, and high-impact adoption across the organization.
  • Create end-to-end artificial intelligence solution patterns involving large language models, application programming interfaces, retrieval-augmented generation, vector search, intelligent agents, orchestration workflows, Snowflake, cloud platforms such as Amazon Web Services and Microsoft Azure, and enterprise data integration.
  • Partner with data, engineering, business applications, operations, identity and access management, and governance teams to create reusable frameworks that accelerate delivery while supporting security, access controls, compliance, and audit needs.

About the Company

Q2

Digital banking platform for community institutions

Q2 provides a suite of digital banking tools to regional and community financial institutions (RCFIs), alternative finance and leasing companies (Alt FIs), and FinTechs. Its offerings include digital banking, banking as a service, lending, and leasing services that enable end users to transact anytime, anywhere, and on any device. The platform is sold to financial institutions, which in turn use the tools to strengthen their digital brands, attract and engage customers, and expand their services. Unlike generic fintechs, Q2 emphasizes serving community banks and credit unions, helping them stand out, grow smart, and scale beyond traditional boundaries. The company’s goal is to build stronger, more diverse communities by supporting the financial institutions that serve them.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Austin, TX
Founded
2004

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