Senior AI Solutions Architect – Enterprise & LLMOps

CliftonLarsonAllen; Indianapolis (IN); On-site; USD 108,000 - 185,000; Full time

Benefits offered by this job

Health, dental, vision benefits

401k plan

Job summary

CLA is seeking a Senior Solution Architect to join our Information Technology team. This role shapes the firm's AI landscape, partnering with stakeholders to design scalable, secure AI architectures and governance for Generative AI and ML initiatives.

You will lead AI strategy, ensure alignment with business goals, and supervise implementation across AI design, deployment, and lifecycle management in a fast-paced enterprise environment.

Qualifications

• 6 years relevant experience required.
• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
• Proficiency in enterprise architecture frameworks and standards.

Responsibilities

• Define and maintain AI architecture standards, reference architectures, governance frameworks, and best practices for Generative AI, Agentic AI, and ML solutions.
• Design, implement, and oversee enterprise AI solutions leveraging LLMs, RAG, AI Agents, vector databases, and modern AI frameworks.
• Translate business requirements into scalable, secure AI architectures and technical solutions.
• Establish LLMOps practices including deployment, evaluation, monitoring, observability, testing, and lifecycle management.
• Lead architecture reviews and ensure AI initiatives align with enterprise architecture, security, and governance requirements.

Skills

AI Architecture

Cloud Strategy

Leadership

Security & Compliance

Education

Bachelor's degree

Tools

LLMOps

Vector Databases

API Design

Job description

CLA is seeking a Senior Solution Architect to join our Information Technology team. This role shapes the firm's AI landscape, partnering with stakeholders to design scalable, secure AI architectures and governance for Generative AI and ML initiatives.

You will lead AI strategy, ensure alignment with business goals, and supervise implementation across AI design, deployment, and lifecycle management in a fast-paced enterprise environment.