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About the Role

The Machine Learning Engineer designs and evolves enterprise AI systems and architectures for scalable, secure, and high-impact adoption. This role defines end-to-end AI solution patterns using LLMs, APIs, RAG, vector search, intelligent agents, orchestration workflows, Snowflake, cloud platforms (AWS, Azure), and enterprise data integration. The engineer partners with data, engineering, business applications, operations, IAM, and governance teams to create reusable frameworks, accelerating delivery while ensuring security, access controls, compliance, and audit needs. Minimal travel may be required for collaboration, planning, or stakeholder engagement.

Responsibilities

Design enterprise solution patterns aligning business needs with scalable implementations
Collaborate with cross-functional teams to translate business challenges into structured architecture recommendations
Identify, analyze, and resolve gaps in scalability, data readiness, interoperability, and operational adoption
Define reusable frameworks and standards to improve delivery consistency across teams and use cases
Evaluate solution options, assess trade-offs, and recommend solutions balancing performance, cost, risk, and business value
Guide teams through architecture decisions supporting responsible adoption and long-term maintainability
Influence organizational direction by promoting best practices, shared patterns, and practical governance approaches
Stay current on emerging practices and assess their applicability to enterprise priorities

Requirements

5–8 years of relevant professional experience in engineering, architecture, data, or enterprise technology roles
Bachelor’s degree in a relevant field
Strong understanding of enterprise architecture principles, system design, integration patterns, and scalable delivery models
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
Demonstrated judgment in balancing innovation, security, governance, cost, and operational feasibility
Strong collaboration skills with the ability to influence across teams without direct authority
Working knowledge of responsible technology adoption, risk management, and enterprise control environments
Fluent written and oral communication in English
Authorized to work for any employer in the U.S. (Visa sponsorship not available)

Skills

Enterprise AI systems design
Enterprise AI architecture
LLMs
APIs
RAG
Vector search
Intelligent agents
Orchestration workflows
Snowflake
AWS
Azure
Enterprise data integration
Enterprise architecture principles
System design
Integration patterns
Scalable delivery models
Stakeholder collaboration
Problem evaluation
Recommendation structuring
Clear communication
Balancing innovation, security, governance, cost, and operational feasibility
Collaboration
Influencing across teams
Responsible technology adoption
Risk management
Enterprise control environments

Location

Hybrid
Minimal travel required

Work Type

Hybrid

Experience Level

5–8 years of relevant professional experience

Education Level

Bachelor’s degree in a relevant field

Benefits

Hybrid Work Opportunities
Flexible Time Off
Career Development & Mentoring Programs
Health & Wellness Benefits
Competitive health insurance offerings
Generous paid parental leave for eligible new parents
Community Volunteering & Company Philanthropy Programs
Employee Peer Recognition Programs ("You Earned it")
Resources for physical well-being
Resources for mental well-being
Resources for professional well-being

About the Company

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.
Mission: Build strong and diverse communities through innovative financial technology by empowering people to create customer success.
Vision: Create meaningful financial experiences throughout the financial journey, enabling customers to build lasting relationships with their account holders.
Philosophy (FinX): Combines digital banking must-haves (feature functionality, operational excellence, integrations) with next-generation technology principles (data-driven insights, open technology, design thinking).
Values: Purpose-built culture defined by Ten Guiding Principles, established by founder Hank Seale, guiding employee conduct with peers, customers, and partners.
Fosters a supportive, inclusive environment prioritizing career growth, collaboration, and wellness.
Encourages employees to give back through volunteer work and nonprofit support via the Spark Program.
Celebrates employees through programs like "Circle of Awesomeness" award ceremony.
Invests in employee growth and development through ongoing learning, mentorship, internal mobility, and leadership relationships.
Hosts an annual Dodgeball for Charity event at Q2 Stadium in Austin to raise money and awareness for community organizations.

Equal Opportunity

Q2 is an Equal Opportunity Employer.
All qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.