Emerging Technology Architect

Q2

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
28 days ago
Freshness
Confirmed live yesterday
Closes
Oct 30, 2026

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Salary context

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Similar $200k
$137k most similar roles pay here $269k

This listing doesn't post a salary. Most similar roles pay $164,156–$235,750.

Based on 240 similar postings.

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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 31 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. This role involves defining end-to-end solution patterns for large language models, retrieval-augmented generation, vector search, intelligent agents, and orchestration workflows. The architect collaborates with cross-functional teams including data, engineering, business applications, and governance to create reusable frameworks that ensure security, compliance, and audit needs are met. Key technical components include Snowflake, AWS, Azure, and enterprise data integration. Day-to-day responsibilities involve translating complex business challenges into structured architecture recommendations, identifying gaps in scalability or data readiness, and evaluating trade-offs between performance, cost, and risk. The role focuses on the specific domain of implementing responsible AI within financial services to solve problems related to operational adoption and long-term maintainability across various enterprise use cases.

What you'll do

  • Design enterprise AI solution patterns using LLMs, RAG, vector search, and intelligent agents.
  • Develop reusable frameworks and standards to accelerate the adoption of AI across various business units.
  • Translate complex business challenges into structured architecture recommendations for technical and non-technical stakeholders.
  • Identify and resolve gaps related to scalability, data readiness, and interoperability in AI systems.
  • Evaluate solution trade-offs regarding performance, cost, risk, and business value.
  • Guide teams through architectural decisions that support responsible AI adoption and long-term maintainability.
  • Promote best practices and shared patterns across engineering and business teams to influence organizational direction.
  • Monitor emerging AI technologies and assess their applicability to the company's strategic priorities.

What we're looking for

  • Must have a Bachelor's degree and at least 12 years of related experience, or an advanced degree with 8+ years of experience.
  • Must be authorized to work for any employer in the U.S.
  • Must be fluent in written and oral English.
  • Requires strong knowledge of enterprise architecture principles, system design, integration patterns, and scalable delivery models.
  • Requires demonstrated experience with AI/ML technologies including LLMs, RAG, vector databases, intelligent agents, and AWS or Azure platforms.
  • Requires experience partnering with business and technical stakeholders to define solutions for complex organizational needs.
  • Must be able to communicate trade-offs clearly to both technical and non-technical audiences.
  • Requires working knowledge of responsible technology adoption, AI governance, risk management, and enterprise control environments.

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