Location: Saudi Arabia
Employment Type: Full Time / On-site
Experience: 4–7+ years
Industry: Banking / Financial Services
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About the Role
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. In this role, 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.
Brownie Points
- 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.
