Emerging Technology Architect

Q2

Confirmed live today High trust
Closes in 3 days

Quick summary

Work type
On-site
Location
Austin, TX
Employment
Full-time
Posted
74 days ago
Freshness
Confirmed live today
Closes
Oct 30, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $200k
$136k $258k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $164,156–$235,187.

Based on 240 similar postings.

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 43 open roles on FindRole.

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At a glance

TL;DR · Emerging Technology Architect

The Emerging Technology Architect designs and evolves enterprise AI systems and architectures to enable scalable, secure, and high-impact adoption across the organization. Working with data, engineering, business applications, operations, identity and access management, and governance teams, this role defines end-to-end AI solution patterns. Daily responsibilities include translating complex business challenges into structured architecture recommendations, identifying gaps in scalability and data readiness, and defining reusable frameworks to improve delivery consistency. The role requires expertise in large language models, APIs, retrieval-augmented generation, vector search, intelligent agents, orchestration workflows, Snowflake, and cloud platforms like AWS and Azure. The position focuses on solving technical problems related to enterprise data integration, responsible AI adoption, security, access controls, compliance, and audit needs within a financial services technology context.

What you'll do

  • Design enterprise AI solution patterns for scalable, secure, and maintainable implementation across the organization.
  • Define end-to-end patterns for LLMs, RAG, vector search, intelligent agents, and orchestration workflows.
  • Create reusable frameworks and standards to accelerate AI delivery and improve consistency across teams.
  • Translate complex business challenges into structured architecture recommendations for cross-functional stakeholders.
  • Evaluate solution trade-offs balancing performance, cost, risk, and business value.
  • Identify and resolve gaps in scalability, data readiness, and operational adoption of AI systems.
  • Guide teams through architecture decisions that support responsible AI adoption and long-term maintainability.
  • Stay current on emerging AI technologies to assess their applicability to organizational priorities.

What we're looking for

  • Must have a Bachelor’s degree and 12 years of related experience, an advanced degree and 8 years of experience, or equivalent experience.
  • Must be authorized to work for any employer in the U.S.
  • Must be fluent in written and oral English.
  • Must have a strong understanding of enterprise architecture principles, system design, integration patterns, and scalable delivery models.
  • Must have demonstrated experience with AI and machine learning technologies including LLMs, RAG, vector databases, intelligent agents, and cloud-based AI platforms.
  • Must have experience partnering with business and technical stakeholders to define practical solutions for complex organizational needs.
  • Must have the ability to evaluate ambiguous problems, structure recommendations, and communicate trade-offs to technical and non-technical audiences.
  • Must have working knowledge of responsible technology adoption, AI governance, risk management, access controls, and enterprise control environments.

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