Enterprise AI Platform Engineer

Saudi Aramco (ASC)

Join Saudi Aramco as an AI ML LLM Systems Engineer, focusing on deploying LLMs and vision models on NVIDIA SuperPods Cloud with Kubernetes and Docker.

Last checked on June 17, 2026. We may earn a commission when you click through.

If you're equipped with a Master's degree and eager to make an impact in AI, this position offers a significant opportunity.

✓ Opportunity to work with advanced AI technologies ✓ Strong company reputation ✓ Chance to impact large-scale projects

Enterprise AI Platform Engineer

Saudi Aramco (ASC)

Updated 9 days ago

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You'll be redirected to sa.talent.com

If you're equipped with a Master's degree and eager to make an impact in AI, this position offers a significant opportunity.

About this role

Join Saudi Aramco as an AI ML LLM Systems Engineer, focusing on deploying LLMs and vision models on NVIDIA SuperPods Cloud with Kubernetes and Docker.

About the Company

Saudi Aramco is a leading global energy and chemicals company, known for its innovative technology and commitment to sustainability.

Key Highlights

✓ Work with enterprise-scale AI platforms
✓ Deploy LLMs on cutting-edge NVIDIA SuperPods
✓ Build scalable inference pipelines using Kubernetes
✓ Collaborate with a team of experts in AI
✓ Contribute to impactful projects in energy

💡 Honest Take: This role is ideal for those passionate about AI and looking to work with advanced technologies in a major company.

Pros

✓ Opportunity to work with advanced AI technologies
✓ Strong company reputation
✓ Chance to impact large-scale projects
✓ Collaborative work environment
✓ Professional growth potential

Cons

✗ On-site work may limit flexibility
✗ High expectations may lead to pressure
✗ Competitive application process
✗ Requires advanced qualifications
✗ Specific focus on LLMs may limit broader experience

Best For: This role is for experienced engineers passionate about machine learning and AI technologies.

Watch Out: Candidates should be prepared for a competitive selection process and the demands of a high-stakes environment.

Apply for this position →

You'll be redirected to sa.talent.com

What Customers Say

Feedback from current employees highlights strong collaboration and opportunities for innovation, but also notes the intensity of the work environment.

Expert Review

AI engineering, the position at Saudi Aramco presents a unique opportunity. With a focus on deploying LLMs on NVIDIA SuperPods, candidates will leverage state-of-the-art technology. The expectation is clear: a Master's degree is required, indicating the level of expertise the company seeks.

The role emphasizes building scalable inference pipelines using Kubernetes and Docker, two critical skills in modern software engineering. While the on-site requirement may deter some, it also ensures an immersive experience within a leading energy firm.

the collaborative environment fosters professional growth, ppealing for those eager to work alongside industry experts. However, candidates should be aware of the competitive nature of the application process and the high expectations.

this position is a solid fit for AI engineers who are ready to embrace challenges and contribute to significant projects. For more details, visit the official posting at Saudi Aramco's page (https://sa.talent.com/redirect?acquisition_sub_id=10101&bpid=aeee5ffafb94108d51d5aab2a56df28c&channel_1=default&channel_2=default&channel_3=default&context=api&eligible=yes&falcon=1&id=622035664528874377&initiator=&is_gl=0&l=Abha&pc=22&pid=3577de1e8493&publisher=7c2b7e61c1&puid=3dea3deegddegddgfddd3deb3deacdda8ddc3deb3dee3de83de83de93dec3ded3de93de93ee33de73ee23def3ee33bed3cef3bee3ee3addf3de93de8bddf9ddb3de7addcgddd&rdr=&sdb=6&search_id=a7b5fcef86abc3dbabc31be7c35f8a1f&source=RubikTech&testid=sonic&utm_campaign=arbitrage&utm_medium=api&utm_product=7c2b7e61c1).