Intellectsoft is seeking an Embedded AI Engineer to join a client's initiative to establish an AI Center of Excellence (COE). The COE's mandate is to define enterprise architecture standards and redesign high-value business workflows using AI-first principles, focusing on production-ready, orchestrated multi-agent pipelines rather than traditional software development life cycle prompts. A proven benchmark in this effort is an automated training course generation workflow that orchestrated 16 distinct AI roles under a single human approval gate, reducing production cycles from 3 months to 2.5 weeks while optimizing token budgets. The COE aims to identify and execute 3 to 5 additional high-value use cases across departments over the next four to five months. The ideal candidate will have advanced AI fluency in building complex prompt engineering schemas, custom agent workflows, and managing LLM performance within the Anthropic Claude ecosystem; experience developing bespoke orchestration layers and CLI-driven tooling; and strong communication skills to bridge the gap between technical teams and non-technical enterprise stakeholders. The role emphasizes pragmatic delivery and immediate operational value, with opportunities for professional growth through Udemy courses, team-building events, workshops, and a clear career path. Work is remote-friendly with flexible hours; you can work from listed locations and organize your day your way, including absence days for work-life balance.

Intellectsoft is seeking an Embedded AI Engineer to join a client's initiative to establish an AI Center of Excellence (COE). The COE's mandate is to define enterprise architecture standards and redesign high-value business workflows using AI-first principles, focusing on production-ready, orchestrated multi-agent pipelines rather than traditional software development life cycle prompts. A proven benchmark in this effort is an automated training course generation workflow that orchestrated 16 distinct AI roles under a single human approval gate, reducing production cycles from 3 months to 2.5 weeks while optimizing token budgets. The COE aims to identify and execute 3 to 5 additional high-value use cases across departments over the next four to five months. The ideal candidate will have advanced AI fluency in building complex prompt engineering schemas, custom agent workflows, and managing LLM performance within the Anthropic Claude ecosystem; experience developing bespoke orchestration layers and CLI-driven tooling; and strong communication skills to bridge the gap between technical teams and non-technical enterprise stakeholders. The role emphasizes pragmatic delivery and immediate operational value, with opportunities for professional growth through Udemy courses, team-building events, workshops, and a clear career path. Work is remote-friendly with flexible hours; you can work from listed locations and organize your day your way, including absence days for work-life balance.