Enterprise AI Architect | Hybrid, Growth & Impact

Q2; Austin (TX); Hybrid; USD 160,000 - 230,000; Full time

Benefits offered by this job

Hybrid work

Flexible time off

Career development

Health benefits

Volunteer program

Peer recognition

Job summary

Q2 is building scalable, secure AI at scale. The Emerging Technology Architect designs and evolves enterprise AI systems, defining end-to-end solution patterns that cover large language models, retrieval-augmented generation, vector databases, intelligent agents, and orchestration across Snowflake and cloud platforms (AWS and Azure).

You will partner with data, engineering, business applications, operations, identity and access management, and governance teams to create reusable frameworks that

Qualifications

• Strong understanding of enterprise architecture, system design, integration patterns, and scalable delivery models.
• Experience with AI/ML technologies including LLMs, retrieval-augmented generation, vector databases, intelligent agents, and cloud-based AI platforms (AWS, Azure).
• Experience partnering with business and technical stakeholders to define practical solutions for complex needs.
• Ability to evaluate ambiguous problems, structure recommendations, and communicate trade-offs clearly.
• Demonstrated judgment balancing innovation, security, governance, cost, and feasibility.
• Collaborative skills to influence across teams without direct authority.
• Knowledge of responsible technology adoption, AI governance, risk management, access controls, and enterprise control environments.

Responsibilities

• Design enterprise AI solution patterns that align business needs with scalable, secure implementation.
• Collaborate with cross-functional teams to translate complex challenges into architecture recommendations.
• Identify and resolve gaps related to scalability, data readiness, interoperability, and adoption of AI systems.
• Define reusable frameworks and standards to improve delivery consistency and adoption.
• Evaluate options, balance performance, cost, risk, and value, and provide recommendations.
• Guide teams through architecture decisions for responsible AI and long-term maintainability.
• Influence organizational direction by promoting best practices and governance across teams.
• Stay current on emerging AI practices and assess applicability to priorities.

Skills

Enterprise architecture

System design

Integration patterns

AI governance

Stakeholder collaboration

Cloud AI platforms

LLMs

AI strategy

Responsible AI

Education

Bachelor's degree in a relevant field

Advanced degree (MS/PhD)

Tools

Snowflake

AWS

Azure

Job description

Q2 is building scalable, secure AI at scale. The Emerging Technology Architect designs and evolves enterprise AI systems, defining end-to-end solution patterns that cover large language models, retrieval-augmented generation, vector databases, intelligent agents, and orchestration across Snowflake and cloud platforms (AWS and Azure).

You will partner with data, engineering, business applications, operations, identity and access management, and governance teams to create reusable frameworks that