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For Companies At a Glance
- Tasks: Lead AI infrastructure projects and collaborate with customer CTOs to deliver innovative solutions.
- Company: Join Oracle, a global leader in cloud computing with over 130,000 employees.
- Benefits: Enjoy flexible remote work, competitive salary, and comprehensive health benefits.
- Why this job: Be part of a diverse team driving AI innovation and transformation in the tech industry.
- Qualifications: Proven experience in designing large AI infrastructures and strong collaboration skills required.
- Other info: Oracle values inclusion and celebrates diversity in the workplace.
The predicted salary is between 43200 - 72000 £ per year.
Oracle is a leader in cloud computing worldwide, with over 130,000 employees. We offer pioneering AI infrastructure that helps businesses with advanced artificial intelligence and machine learning. From powerful GPU instances to specialised AI hardware, Oracle's infrastructure supports different AI tasks, ensuring top-notch performance and scalability.
We are seeking a highly skilled and motivated AI Infrastructure Technology Leader to join our team, specialising in AI infrastructure, GPU, Storage and Network Technologies. The ideal candidate will have a strong background in AI Infrastructure along with a passion for innovation and problem-solving.
What You Will Do
- The AI Infrastructure Technology Leader will work closely with customer CTOs and Oracle’s Cloud Infrastructure teams to design and deliver large-scale AI infrastructure solutions.
- They will lead cross-functional teams, evaluate the technical and commercial viability of solutions and drive customer engagements from pre-sales through delivery.
- This role involves deep expertise in GPU, storage and network technologies including strong vendor relationships (e.g., Nvidia, AMD) and thought leadership through industry presentations.
- The ideal candidate combines technical depth with strategic communication and a proven track record in delivering complex AI-driven transformation projects.
Required Skills and Experience
- Track record of designing and delivering large AI infrastructures successfully.
- Strong collaboration skills across organizational boundaries.
- Effective selling and convincing skills.
- Deep commercial engagement experience.
- Experience presenting at AI and Infrastructure conferences.
- Strong knowledge of AI Infrastructure use-cases.
- Deep relationships with AI Infrastructure vendors such as Nvidia and AMD.
Additional Skills
- Effective executive communicator.
- Deep understanding of GPU, Storage, Network technologies.
- Leadership ability across multidisciplinary teams.
- Ability to quickly assess the commercial and technical viability of solutions.
What We Offer
- A competitive salary with exciting benefits.
- Flexible and remote working options.
- Learning and development opportunities.
- Employee Assistance Program for mental health support.
- Diverse community resource groups.
- Core benefits including medical, life insurance, and retirement plans.
- An inclusive culture that celebrates diversity.
If this sounds like you, we look forward to meeting you! Create the future with us. Apply now by visiting oracle.com/careers and searching for Architect Specialist AI.
At Oracle, we celebrate differences and believe that innovation starts with inclusion. We are committed to creating a workplace where everyone’s voice is valued and heard.
AI Infrastructure Technology Leader employer: Oracle
Contact Detail:
Oracle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infrastructure Technology Leader
✨Tip Number 1
Network with professionals in the AI infrastructure field. Attend industry conferences and events where you can meet CTOs and other leaders. Building these connections can give you insights into the role and potentially lead to referrals.
✨Tip Number 2
Showcase your expertise in GPU, storage, and network technologies through online platforms like LinkedIn. Share articles, engage in discussions, and highlight your past projects to demonstrate your knowledge and passion for AI infrastructure.
✨Tip Number 3
Prepare for potential interviews by familiarising yourself with Oracle's AI infrastructure offerings. Understand their products and how they compare to competitors like Nvidia and AMD, as this will help you articulate your value during discussions.
✨Tip Number 4
Practice your executive communication skills. Since the role involves engaging with high-level stakeholders, being able to convey complex technical concepts in a clear and persuasive manner is crucial. Consider mock interviews or presentations to refine this skill.
We think you need these skills to ace AI Infrastructure Technology Leader
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Infrastructure Technology Leader position. Tailor your application to highlight your relevant experience in AI infrastructure, GPU, storage, and network technologies.
Highlight Relevant Experience: In your CV and cover letter, emphasise your track record in designing and delivering large AI infrastructures. Include specific examples of projects you've led, particularly those involving collaboration with CTOs or cross-functional teams.
Showcase Communication Skills: Since effective communication is crucial for this role, ensure your application reflects your ability to convey complex technical concepts clearly. Mention any experience you have presenting at conferences or engaging with stakeholders.
Tailor Your Application: Customise your CV and cover letter for Oracle by incorporating keywords from the job description. This will demonstrate your understanding of the role and show that you are a good fit for their team.
How to prepare for a job interview at Oracle
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI infrastructure, GPU, storage, and network technologies. Highlight specific projects where you successfully designed and delivered large-scale AI solutions, as this will demonstrate your technical depth.
✨Demonstrate Leadership Skills
Since the role involves leading cross-functional teams, share examples of how you've effectively led teams in previous roles. Discuss your approach to collaboration and how you manage diverse groups to achieve common goals.
✨Prepare for Commercial Engagement Questions
Expect questions about your experience with commercial viability assessments. Be ready to explain how you've evaluated the technical and commercial aspects of AI solutions in past projects, showcasing your ability to drive customer engagements.
✨Practice Your Presentation Skills
Given the importance of effective communication in this role, practice presenting complex ideas clearly and concisely. You may be asked to present a case study or a solution during the interview, so ensure you can articulate your thoughts confidently.
