Live opening · Posted 7 days ago

Customer Engineering Architect

Oracle · Nashville, TN, United States | United States
Oracle
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyOracle
LocationNashville, TN, United States | United States
SourceOracle
Listed7 days ago

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About the role

Description supplied by the original job listing.

As a Customer Engineering Architect, you will be at the forefront of designing and implementing next-generation accelerated computing and AI solutions on Oracle Cloud Infrastructure (OCI). You will engage directly with customers ranging from emerging AI startups to Fortune 500 enterprises, helping them architect and deploy complex HPC and GPU clusters, AI platforms, and intelligent agentic solutions across proof-of-concept and production environments.
This highly visible and influential role combines deep technical expertise with a consultative approach to pre-sales technical consulting, solution engineering, and AI transformation strategy. You will play a critical role in supporting OCI strategic customers by optimizing infrastructure for performance, reliability, scalability, and cost-effectiveness.
You will also help mature customer relationships by establishing strong partnerships with strategic customers and peers across OCI. In addition, you will develop and implement new processes that may have OCI-wide impact, contributing to Oracle’s strategic vision for cloud and AI adoption.
#LI-ES2
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
Work directly with strategic customers and partners across industry verticals to onboard, integrate, and optimize solutions on Oracle Cloud Infrastructure.
Architect and deploy large-scale GPU, HPC, and AI infrastructure on OCI using tools such as Terraform, Ansible, Slurm, Kubernetes, and other automation frameworks.
Build automated solutions for cluster provisioning, software deployment, infrastructure as code, performance monitoring, and capacity planning.
Collaborate with Oracle’s largest enterprise customers to define, tailor, and validate solutions that meet high-performance computing, AI, and accelerated computing requirements.
Support LLM-based applications, agentic AI systems, and robotic AI platforms from architecture and design through deployment and production readiness.
Act as a trusted technical advisor to customers, partners, Oracle sales teams, support teams, and engineering organizations.
Own and promote architecture best practices across customer environments and internal Oracle teams.
Identify, document, and communicate technical risks, design gaps, dependencies, and potential customer-impacting issues.
Author SME-level technical collateral, reference architectures, deployment guides, and implementation patterns to enable repeatable customer solutions.
Partner with OCI engineering teams to influence product direction, validate new features, and integrate new OCI services into customer-ready solutions.
Troubleshoot infrastructure performance, scalability, reliability, and availability issues; implement mitigations to reduce risk and minimize downtime.
Participate in service-impacting incidents, drive rapid remediation, own root cause analysis, and ensure corrective actions are completed.
Serve as a technical escalation path for support teams requiring direct customer engagement.
Define and improve processes, procedures, and change-management practices to reduce operational risk for strategic customers.
Act as the strategic customer technical advocate when working with engineering teams to improve OCI reliability, usability, and operational readiness.
Stay current on emerging cloud, AI, GPU, HPC, and infrastructure technologies; evaluate their relevance to OCI customer architectures and internal workflows.
Document infrastructure designs, configurations, operational procedures, and lessons learned to support knowledge sharing, maint

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