Machine Learning Engineer

Machine Learning Engineer

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.

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.
• Identify, analyze, and resolve gaps related to scalability, data readiness, interoperability, and operational adoption.
• Define reusable frameworks and standards that improve delivery consistency 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 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.

Experience and Knowledge

• 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.

This position requires fluent written and oral communication in English.

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.

Health & Wellness

• Hybrid Work Opportunities
• Flexible Time Off
• Career Development & Mentoring Programs
• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• Community Volunteering & Company Philanthropy Programs
• Employee Peer Recognition Programs – "You Earned it"

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. 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). We believe in making an impact—in the industry and in the community.

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

Applicants in California or Washington State may not be exempt from federal and state overtime requirements