3 months ago

AI/ML/LLM Systems Engineer - Enterprise AI Platform Engineer (SA)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Design and operate enterprise-scale AI/ML platforms, deploying and optimizing LLMs and vision models on NVIDIA SuperPods/cloud. Build scalable inference pipelines with Kubernetes, Docker/OpenShift, and CI/CD; ensure low latency, observability, and data integration with Elasticsearch and PostgreSQL. Collaborate with infrastructure teams to provision GPU resources and maintain high-availability AI workflows for enterprise applications.

Location: Saudi Arabia

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Deploy and manage LLMs and vision models on NVIDIA SuperPods, Cloud, ensuring high performance and efficient use of GPU resources.
•Build and maintain scalable inference pipelines using Kubernetes (K8s), Docker, and OpenShift for enterprise AI platforms.
•Optimize inference performance through multiple techniques.
•Benchmark and evaluate LLMs for performance, accuracy, latency, and resource utilization across different hardware and software configurations.
•Implement and support LLMOps frameworks with full observability, including logging, tracing, and model performance tracking.

Key Requirements

•Master’s degree in Computer Science, Software Engineering, or a related field
•8 years of experience in AI/ML systems or cloud-native infrastructure, including at least 4 years in LLM deployment and optimization
•Proficiency in Python and SQL, with experience in building and optimizing AI/ML applications
•Ability to work with Kubernetes (K8s), Docker, and OpenShift in production environments
•Experience deploying and optimizing LLMs and vision models on NVIDIA GPU clusters and HPC/cloud environments

Experience:8+ yearsAI/MLCloud-nativeLLM deploymentEnterprise AI

Education:Master's

Skills:PythonSqlKubernetesDockerOpenshiftElasticsearchPostgresqlHaystackGitBitbucketJenkinsArgocdNarva?Nagios

Tech Stack:PythonSQLKubernetesDockerOpenShiftElasticsearchPostgreSQLHaystackGitBitbucketJenkinsArgoCDNVIDIASuperPodsHPCCloud

Company Brief

Saudi Aramco

State-owned integrated energy and chemicals company producing and marketing crude oil, natural gas and petrochemicals globally, with major investments in energy infrastructure, refining and low‑carbon technologies.

Industry: Oil & Gas

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Dhahran, Saudi Arabia

Founded: 1933

Glassdoor: 4.2

Website LinkedIn Glassdoor

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Saudi Aramco

3 months ago

AI/ML/LLM Systems Engineer - Enterprise AI Platform Engineer (SA)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Saudi Arabia

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Deploy and manage LLMs and vision models on NVIDIA SuperPods, Cloud, ensuring high performance and efficient use of GPU resources.
•Build and maintain scalable inference pipelines using Kubernetes (K8s), Docker, and OpenShift for enterprise AI platforms.
•Optimize inference performance through multiple techniques.
•Benchmark and evaluate LLMs for performance, accuracy, latency, and resource utilization across different hardware and software configurations.
•Implement and support LLMOps frameworks with full observability, including logging, tracing, and model performance tracking.

Key Requirements

•Master’s degree in Computer Science, Software Engineering, or a related field
•8 years of experience in AI/ML systems or cloud-native infrastructure, including at least 4 years in LLM deployment and optimization
•Proficiency in Python and SQL, with experience in building and optimizing AI/ML applications
•Ability to work with Kubernetes (K8s), Docker, and OpenShift in production environments
•Experience deploying and optimizing LLMs and vision models on NVIDIA GPU clusters and HPC/cloud environments

Experience:8+ yearsAI/MLCloud-nativeLLM deploymentEnterprise AI

Education:Master's

Skills:PythonSqlKubernetesDockerOpenshiftElasticsearchPostgresqlHaystackGitBitbucketJenkinsArgocdNarva?Nagios

Tech Stack:PythonSQLKubernetesDockerOpenShiftElasticsearchPostgreSQLHaystackGitBitbucketJenkinsArgoCDNVIDIASuperPodsHPCCloud

Company Brief

Saudi Aramco

Industry: Oil & Gas

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Dhahran, Saudi Arabia

Founded: 1933

Glassdoor: 4.2

Website LinkedIn Glassdoor