Forward Deployment Engineer (Embedded AI/Systems Engineer)

An empty job that is used for creating requisitions 'from scratch' Responsibilities Embed with customer teams (on-site or virtually), rapidly understand domain challenges, and design tailored AI/ML-driven solutions Lead end-to-end implementation: data ingestion, model integration, application logic, UI/UX, APIs, monitoring, and scaling Collaborate with customer stakeholders (technical and executive) to define roadmap, success metrics, and delivery plans Iterate rapidly: prototype, test, learn, and refine in production settings Surface lessons from client deployments back into our core platform—help shape product direction, SDKs, abstractions, and APIs Assist the sales/pre‑sales process: technical discovery, architecture reviews, proof‑of‑concept scoping, and proposals Ensure reliability, observability, performance, security, and compliance in deployed systems Requirements 3–8+ years of professional software engineering experience (full stack, data, infrastructure, or ML systems) Strong programming ability in Python, Java, TypeScript/JavaScript, or equivalent Experience building production systems: APIs, data pipelines, scalable services, frontend/backends Demonstrated ability to work in ambiguous environments, integrating multiple systems and APIs Excellent communication skills: able to engage both engineers and non-technical stakeholders Highly autonomous, creative problem solver, comfortable working across layers (data, app, infra) Willingness to travel (20%–40%) to customer sites Preferred Qualifications Experience in AI/ML, knowledge graphs, embeddings, LLMs, vector databases Background in regulated industries (finance, healthcare, government) #J-18808-Ljbffr Jeen.ai