Embedded AI Engineer: Build AI Agents & Workflows

Insight Global; Miami (FL); On-site; USD 110,000 - 140,000; Full time

Job summary

Insight Global is seeking an Embedded AI Engineer to partner with a business vertical, learn its workflows, and build practical AI solutions integrated into existing processes. You will work closely with business users to uncover opportunities, then design and deploy AI agents, RAG apps, copilots, and workflow automations.

The role starts with a balance of stakeholder engagement and development, then shifts toward more hands-on building, and requires strong Python and SQL skills along with cloud

Qualifications

• 1 to 3 years of software engineering, automation, data, analytics, or applied AI.
• Hands-on experience building AI agents, RAG applications, copilots, or AI-powered automations.
• Strong Python skills and working knowledge of SQL.
• Ability to embed within a business function and serve as its AI resource.
• Experience translating business needs into deployable AI solutions.
• Experience with Azure or Snowflake or similar cloud/data platforms.
• Personal AI projects demonstrating hands-on development.

Responsibilities

• Embed within the assigned vertical and learn its workflows, systems, challenges, and priorities.
• Identify high-value AI and automation opportunities with business users.
• Develop and deploy AI agents, RAG solutions, copilots, prompts, and workflow automations.
• Own solutions from discovery through testing, deployment, and ongoing improvement.
• Train users on delivered solutions and support broader AI adoption.
• Gather feedback and measure the effectiveness of deployed tools.
• Partner with central AI and data teams while maintaining ownership of solutions.

Skills

Python

AI development

Stakeholder communication

SQL

Tools

Azure

Snowflake

Job description

Insight Global is seeking an Embedded AI Engineer to partner with a business vertical, learn its workflows, and build practical AI solutions integrated into existing processes. You will work closely with business users to uncover opportunities, then design and deploy AI agents, RAG apps, copilots, and workflow automations.

The role starts with a balance of stakeholder engagement and development, then shifts toward more hands-on building, and requires strong Python and SQL skills along with cloud