Forward Deployed AI Solutions Engineer
Skills
Software As A ServiceAdoptionAirline TicketingContextCustomer ExperienceDriftEnterprise Systems
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Hands-on technical fluency in CLIs APIs webhooks SQL and Python scripting
- Working knowledge of LLMs and agent behavior including prompting context tool use RAG MCP evals and failure modes
- Strong cloud platform experience
- Comfort with least-privilege access auditability and safe rollbacks
- Strong technical and process judgment with KPI-driven prioritization
- Ability to work with both business and technical stakeholders
Nice to have
- Domain-oriented
- Outcome-driven
- Process-minded
- Cross-functional
- Pragmatic
- Trustworthy
Day to day
- Work directly inside a business domain to identify high-leverage workflows that AI agents and automation can accelerate by 10–100x.
- Map current and future-state workflows across systems such as CRM ERP ticketing document stores and internal tools then define human and agent handoffs.
- Build deploy and operate production-grade agents and automation pipelines with integrations retrieval context tool access evals and observability.
- Partner with domain leadership and the central AI & Automation team to quantify impact prioritize opportunities and turn workflows into measurable business outcomes.