Senior AI Solution Architect - Enterprise & LLMOps

CliftonLarsonAllen; Minneapolis (MN); On-site; USD 108,000 - 185,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k)

Job summary

CLA is growing and seeking to hire an experienced Senior Solution Architect to join our Information Technology team. This role shapes the firm's technology landscape by partnering with key stakeholders to design solution architectures that enable insightful analytical capabilities and scalable, secure, future-ready systems.

You will drive AI architecture, governance, and LLMOps, translating business needs into cost-efficient architectures, evaluating tools and platforms, and providing technical

Qualifications

• 6 years relevant experience required.
• Bachelor's degree or combination of experience and training may be considered.

Responsibilities

• Define and maintain enterprise AI architecture standards, governance, and best practices.
• Partner with business and technology leaders to deliver AI-enabled capabilities.
• Lead architecture reviews and ensure alignment with security and governance requirements.
• Design, implement, and oversee AI solutions leveraging LLMs, agents, and vector databases.
• Translate business requirements into scalable, secure AI architectures and solutions.
• Provide technical leadership on AI architecture, prompt engineering, and governance.

Skills

Enterprise Architecture Design

Solution Architecture

Data Architecture

Cloud Technologies

Integration & API Management

Security & Compliance

Technical Governance

Education

Bachelor's degree or equivalent

Job description

CLA is growing and seeking to hire an experienced Senior Solution Architect to join our Information Technology team. This role shapes the firm's technology landscape by partnering with key stakeholders to design solution architectures that enable insightful analytical capabilities and scalable, secure, future-ready systems.

You will drive AI architecture, governance, and LLMOps, translating business needs into cost-efficient architectures, evaluating tools and platforms, and providing technical