Q2Ebanking
Machine Learning Engineer
Austin, TX
No sponsorshipDetected 30 days ago
SnowflakeAWSAzureCloud PlatformsMachine LearningSparkLLMsRAGLeadershipCommunicationCollaborationMentoring
About the role
- Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.
- We celebrate our employees in many ways, including our "Circle of Awesomeness" award ceremony and day of employee celebration among others!
- We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships.
Responsibilities
- Design enterprise solution patterns that align business needs with scalable implementation approaches.
- Collaborate with cross-functional teams to translate business challenges into structured architecture recommendations.
- Guide teams through architecture decisions that support responsible adoption and long-term maintainability.
Requirements
- Bachelor's degree in a relevant field.
- Strong understanding of enterprise architecture principles, system design, integration patterns, and scalable delivery models.
Compensation
- We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
Benefits
- Health & Wellness
- Flexible Time Off
- Click here to find out more about the benefits we offer.
- We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized.
Company info
- build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.
- Being as passionate about our people as we are about our mission.
- We also know that nothing builds trust and collaboration like having fun.
- We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
- The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization.
- This role defines end-to-end AI solution patterns involving LLMs, APIs, RAG, vector search, intelligent agents, orchestration workflows, Snowflake, cloud platforms such as AWS and Azure, and enterprise data integration.
- The role partners across data, engineering, business applications, operations, IAM, and governance teams to create reusable frameworks that accelerate delivery while supporting security, access controls, compliance, and audit needs.
- This position may require minimal travel for collaboration, planning, or stakeholder engagement.
- And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being.
- Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ).
Visa & Work Authorization
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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This listing is sourced directly from Q2Ebanking's careers page and normalized into a canonical job model.