Forward Deployed Engineer (Saudi Only)

Company Description whj.ai وهج helps organizations move from AI interest to concrete AI outcomes by building trusted data foundations and connecting AI to real business processes. The company focuses on deploying practical AI solutions that improve productivity, reduce operational effort, and support better decision-making. Engagements typically span data readiness, integration, implementation, and embedding AI capabilities into daily operations. Role Description As a Forward Deployed Engineer (FDE), you will bridge the gap between core product engineering and high-impact client execution. Embedded directly with strategic enterprise customers, you will architect, build, and deploy custom software integrations, data pipelines, and workflow extensions on top of our core platform. You will tackle complex technical edge cases in real-time while funneling critical user insights back to the internal product roadmap.Key Responsibilities• Client Architecture & Deployment: Lead end-to-end technical implementations on-site or remotely, integrating platform APIs and services into complex legacy and modern enterprise environments.• Custom Software Development: Write production-grade code (Python, Go, Java, or TypeScript) to build tailored extensions, custom tooling, and bespoke data processing pipelines.• Data Integration: Clean, transform, and integrate massive, disparate datasets using tools like SQL, Spark, and modern ETL/ELT frameworks.• Product Feedback Loop: Collaborate closely with internal Product and Core Engineering teams to translate recurring customer requirements into platform-native features.• Technical Advisory: Act as the trusted technical authority for client executives and engineering leads, diagnosing production bottlenecks and presenting architectural trade-offs.Qualifications & Requirements• Technical Background: 3+ years of professional software engineering experience with proficiency in languages such as Python, Go, Java, or C++.• Data & Infrastructure: Solid foundation in SQL, relational/NoSQL databases, distributed systems, and cloud infrastructure (AWS, GCP, or Azure).• Systems Architecture: Strong understanding of REST/gRPC APIs, microservices, containerization (Docker, Kubernetes), and CI/CD pipelines.• Communication & Presence: Exceptional ability to explain nuanced technical decisions to non-technical stakeholders and C-level executives.• Willingness to Travel: Open to periodic travel (typically 15–25%) for high-stakes on-site customer engagements.Preferred Experience• Background in enterprise SaaS, data analytics platforms, or AI/ML deployment.• Prior experience in consulting, solutions architecture, or early-stage startup environments where requirements evolve rapidly.