Intermediate Client-Embedded AI Solutions Engineer (aka: FDE)
Core
Build and ship AI-driven workflow integrations and automations inside client organizations to solve real business problems and improve operational efficiency.
Role type
Intermediate Client-Embedded AI Solutions Engineer (FDE)
Builds
Production-grade AI workflows, automations, and reusable components for client environments
Domain
AI consulting, venture building, and private equity
Deliverable
production ML models | product features
Required skills
solution architecture, API integrations, data contracts, auth/permissions, reliability practices, no-code/low-code automation, Python, JavaScript, AI-enabled workflow design, prompting, retrieval, model selection, guardrails, technical writing, problem-solving
Preferred skills
client-embedded or forward-deployed technical role experience, LLM or agent-based system architectures, automating operations in consulting/professional-services firms, enterprise system integration (CRM, ERP, ITSM, HRIS), process-mapping and operational design methods
Responsibilities
Join discovery sessions to map workflows and surface constraints; design and build AI-driven workflows with guardrails; prototype and harden automations to production quality; handle sensitive data per security requirements; document technical tradeoffs and escalate architectural decisions; collaborate with platform engineers and senior counterparts; build trust with client teams and feed reusable patterns back to the platform
Seniority
Intermediate, hands-on IC
