AI Solutions Engineer - Remote

Overview

The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy.

In Short

• Responsible for the full technical lifecycle of AI-driven solutions.
• Leverage existing AI capabilities to automate workflows.
• Assess and implement AI platforms for enterprise-wide solutions.
• Design and maintain internal tools and micro-services.
• Rapidly prototype AI-enabled utilities.
• Oversee architectural choices for internal AI systems.
• Provide guidance on effective prompts for generative models.
• Assist teams with data preparation and fine-tuning.
• Strong problem-solving capabilities required.
• Degree in Computer Science or related field is typically required.

Requirements

• Solid understanding of machine learning techniques.
• Proficiency in applicable programming languages.
• Experience with AI frameworks and libraries.
• Experience with generative AI APIs.
• Familiarity with cloud platforms (Azure, GCP, AWS).
• Experience with MCP servers for AI actions.
• Strong analytical and problem-solving skills.
• Significant hands-on experience in a similar role.

Benefits

• Be at the forefront of AI innovation.
• Collaborative and supportive work environment.
• Opportunity for continuous learning and professional development.
• Shape the future of AI adoption within the organization.