Enterprise AI Architect - Scalable, Secure Innovation

Q2 India; Austin (TX); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid work options

Flexible time off

Career development

Health insurance benefits

Volunteer programs

Peer recognition program

Job summary

Q2 is seeking an Emerging Technology Architect to design and evolve enterprise AI systems across our organization. You will partner with data, engineering, and governance teams to create scalable, secure architectures using large language models, retrieval‑augmented generation, vector search, and cloud platforms like AWS and Azure.

The role requires a deep understanding of enterprise architecture, system design, and practical AI delivery across multiple domains, with a focus on secure access,

Qualifications

• Typically requires a Bachelor’s degree in a related field and significant experience in enterprise architecture.
• Advanced degree with substantial experience is acceptable in lieu of the Bachelor’s per the posting.
• Experience with AI/ML technologies including large language models and cloud platforms is required.

Responsibilities

• Design enterprise AI solution patterns aligned with business needs and scalable implementation approaches.
• Collaborate with cross-functional teams to translate business challenges into architecture recommendations.
• Define reusable frameworks and standards to improve delivery consistency and accelerate adoption.

Skills

Enterprise architecture

System design

AI/ML technologies

Cloud platforms

Stakeholder collaboration

English communication

Education

Bachelor's degree

Advanced degree

Tools

Snowflake

AWS

Azure

Retrieval-augmented generation

Vector databases

Job description

Q2 is seeking an Emerging Technology Architect to design and evolve enterprise AI systems across our organization. You will partner with data, engineering, and governance teams to create scalable, secure architectures using large language models, retrieval‑augmented generation, vector search, and cloud platforms like AWS and Azure.

The role requires a deep understanding of enterprise architecture, system design, and practical AI delivery across multiple domains, with a focus on secure access,