AI Solutions Architect

Responsibilities

• Partner with clients and internal stakeholders to design and implement end to end AI driven solutions
• Translate business requirements into scalable AI architectures and technical workflows
• Guide integration of Large Language Models, machine learning models, and data pipelines into existing systems
• Provide technical leadership across AI deployment, infrastructure, and application layers
• Collaborate with engineering and product teams to ensure feasibility, scalability, and performance
• Support solution prototyping, proof of concepts, and production rollout strategies

Requirements

• Experience designing and deploying AI, machine learning, or data driven solutions in production environments
• Strong understanding of cloud platforms and AI infrastructure concepts
• Familiarity with Large Language Models, generative AI systems, or machine learning pipelines
• Ability to communicate technical concepts to both technical and non technical audiences
• Experience in client facing or cross functional technical roles preferred
• Background in software engineering, data engineering, or systems architecture

Hourly rate is commensurate with experience and is an estimated range provided by WorkGenius.