Machine Learning Engineer
At a glance
AI generatedTL;DR
As a Machine Learning Engineer at Q2, you will join a dynamic team to design and evolve AI systems that drive scalable and secure adoption across the organization. Your day-to-day responsibilities include creating end-to-end AI solution patterns involving large language models, APIs, retrieval-augmented generation, vector search, intelligent agents, and cloud platforms like AWS and Azure. You will collaborate with data, engineering, business applications, operations, IAM, and governance teams to develop reusable frameworks that enhance delivery efficiency while ensuring security and compliance. This role requires a strong understanding of enterprise architecture principles and the ability to translate complex business challenges into structured recommendations. Ideal candidates have 5-8 years of experience in relevant roles, with expertise in evaluating ambiguous problems and communicating trade-offs effectively across various stakeholders.
Skills
What you'll do
- Design enterprise AI systems that align business needs with scalable implementation approaches.
- Translate complex business challenges into structured architecture recommendations for cross-functional teams.
- Identify and resolve gaps in scalability, data readiness, interoperability, and operational adoption.
- Define reusable frameworks to improve delivery consistency across various use cases and teams.
- Evaluate solution options and provide balanced recommendations considering performance, cost, risk, and value.
- Guide teams through critical architecture decisions supporting responsible technology adoption and maintainability.
What we're looking for
- 5-8 years of professional experience in engineering or related technical fields.
- Strong understanding of enterprise architecture principles and scalable delivery models.
- Experience collaborating with business and technical stakeholders to define solutions.
- Ability to evaluate complex problems, recommend structured solutions, and communicate trade-offs.
- Demonstrated judgment in balancing innovation, security, governance, cost, and operational feasibility.
- Strong collaboration skills and ability to influence across teams without direct authority.
Employer
About Q2
Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking
Q2 currently has 49 open roles on FindRole.
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