Forward Deployed AI Engineer

Zohorecruit; Riyadh; On-site; SAR 240,000 - 360,000; Full time

Job summary

Tangram.ai seeks a Forward Deployed AI Engineer in Riyadh, Saudi Arabia to deploy and operationalize enterprise GenAI platforms within secure, on-premise and air-gapped banking environments.

You will work with client IT, infrastructure, security and AI teams to translate platform architectures into production deployments and optimize AI workloads for reliability in regulated settings.

Qualifications

• 4+ years in Software Engineering, DevOps, Platform Engineering or related field.

Responsibilities

• Deploy and configure NVIDIA NIMs, LLMs, DataRobot, Graph Databases.
• Install and manage AI workloads on OpenShift and Kubernetes environments.
• Package and deploy container images, dependencies, and LLM weights in air-gapped environments.
• Configure NVIDIA GPU Operator, GPU time-slicing and MIG for AI workloads.
• Optimize LLM inference performance: throughput, latency and GPU utilization.
• Build CI/CD and GitOps pipelines using 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 blockers.

Skills

OpenShift

Kubernetes

NVIDIA GPUs

LLM Deployment

MLOps / LLMOps

Docker / OCI

GitOps

ArgoCD

DataRobot

Triton Inference Server

Graph Databases

Education

CKA / CKAD certification

Tools

OpenShift Pipelines

Helm

Kustomize

Kubectl

Job description

Riyadh, Saudi Arabia | Posted on 09/15/2026

Experience: 4–7+ years

Who are we?

Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission has always been to simplify the world’s choices.

Today, we’ve evolved into Tangram.ai — a modular, GenAI-powered platform built for the enterprise. Tangram lets organizations assemble intelligent agents, solutions, and models like building blocks to create, scale, and adapt AI-powered capabilities with speed, security, and precision. It’s not just a platform,it’s the operating layer for GenAI in the enterprise.

Role Overview

We are looking for a Forward Deployed AI Engineer to deploy, integrate, optimize, and operationalize enterprise Generative AI platforms within secure, on-premise and air-gapped banking environments.

You will work closely with client IT, infrastructure, security, engineering, and AI teams to turn AI platform architectures into reliable, production-ready deployments.

What You'll Do

• Deploy and configure NVIDIA NIMs, LLMs, DataRobot, Graph Databases, and related 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.

What We're Looking For

• 4+ years of experience in Software Engineering, DevOps, Platform Engineering or a related field.
• 2+ years of hands-on experience in MLOps / LLMOps.
• Strong experience with Red Hat OpenShift and Kubernetes.
• Hands-on experience with NVIDIA GPUs and NVIDIA GPU Operator.
• Experience deploying LLMs, NVIDIA NIM, Triton or enterprise AI platforms.
• Strong understanding of containerization, Docker/OCI images and Kubernetes workloads.
• Experience with Helm, Kustomize, Kubernetes Operators and GitOps.
• Experience with ArgoCD, OpenShift Pipelines or similar CI/CD tools.
• 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.
• Strong troubleshooting, communication and client-facing skills.
• 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.