Forward Deployed AI Engineer

About Crayon Data and *******

Crayon Data, headquartered in Singapore with operations in India and the UAE, specializes in AI-led revenue acceleration solutions. Established in 2012, the company has developed *****, a modular, GenAI-powered platform designed for enterprise use. ***** enables organizations to build, scale, and adapt AI capabilities using intelligent agents, solutions, and models, serving as an operating layer for Generative AI in enterprise environments.

The Role of Forward Deployed AI Engineer

Crayon Data is seeking a Forward Deployed AI Engineer to work in Riyadh, Riyadh, Saudi Arabia. This full-time role involves deploying, integrating, optimizing, and operationalizing enterprise Generative AI platforms within secure, on-premise, and air-gapped banking environments. The engineer will collaborate with client IT, infrastructure, security, engineering, and AI teams to ensure successful, production-ready AI platform deployments.

Key Responsibilities

• Deploy and configure NVIDIA NIMs, LLMs, DataRobot, Graph Databases, and other AI platforms.
• Install and manage AI workloads on Red Hat OpenShift and Kubernetes environments.
• Package and deploy container images, dependencies, and LLM model weights in air-gapped environments.
• Configure and optimize NVIDIA GPU Operator, GPU time-slicing, and MIG for AI workloads.
• Optimize LLM inference performance, including TTFT, throughput, latency, and GPU utilization.
• Build and manage CI/CD and GitOps pipelines using tools such as ArgoCD and OpenShift Pipelines.
• Develop and maintain Helm charts, Kustomize manifests, and Kubernetes configurations.
• Troubleshoot deployment, infrastructure, networking, and performance issues in secure client environments.
• Work directly with client IT, Security, and Infrastructure teams to resolve technical blockers and ensure successful deployments.

Required Qualifications and Experience

• Experience: 5-10 years of overall experience, with 4+ years in Software Engineering, DevOps, Platform Engineering, or a related field, and 2+ years of hands-on experience in MLOps / LLMOps.
• Platform Expertise: Strong experience with Red Hat OpenShift and Kubernetes.
• AI Technologies: Hands-on experience with NVIDIA GPUs and NVIDIA GPU Operator; experience deploying LLMs, NVIDIA NIM, Triton, or enterprise AI platforms.
• Containerization: Strong understanding of containerization, Docker/OCI images, and Kubernetes workloads.
• DevOps Tools: Experience with Helm, Kustomize, Kubernetes Operators, GitOps, ArgoCD, OpenShift Pipelines, or similar CI/CD tools.
• Security: Understanding of air-gapped / disconnected environments and offline software deployment; good understanding of enterprise authentication and security frameworks such as Active Directory, LDAP, Kerberos, and OAuth; experience with secure secrets management using HashiCorp Vault, OpenShift Secrets, or similar technologies.
• Soft Skills: Strong troubleshooting, communication, and client-facing skills.

Preferred Qualifications

• Experience deploying AI platforms in Banking / BFSI or highly regulated environments.
• Experience working in air-gapped or disconnected data centers.
• CKA / CKAD certification.
• Experience with NVIDIA NIM, Triton Inference Server, or DataRobot.
• Experience with Graph Databases such as Neo4j or ArangoDB.
• Experience with GPU performance tuning, MIG, and GPU time-slicing.
• Experience with large-scale LLM inference and RAG deployments.

Application Information

This is a full-time position located in Riyadh, Riyadh, Saudi Arabia. Salary information will be disclosed during the hiring process.