Partner Applied AI Engineer, Oracle and Cloud ISV

The Applied AI Engineering team helps developers and enterprises deploy generative AI safely and effectively. We serve as trusted technical advisors, helping customers and partners move from early experimentation to production-scale AI systems.

As a Partner Applied AI Engineer focused on Cloud ISVs, you will work with Oracle Cloud, Snowflake, and Databricks to help customers adopt OpenAI. You will bring OpenAI capabilities to the applications, data platforms, and developer workflows customers already use, then turn successful deployments into approaches the field and partner teams can deliver independently.

Responsibilities

• Strategic partner engagement and influence: Build relationships with Oracle, Snowflake, and Databricks field leaders and technical teams. Shape joint account plans, identify the customer problem each partner can help solve, and prioritize opportunities with a clear path to production and reuse.
• Complex deal leadership and execution: Lead technical discovery, architecture, prototyping, evaluation, and production readiness. Agree with both account teams on what the customer will deploy, how success will be verified, and who owns the next step.
• Solution architecture and hands-on building: Build reference implementations with OpenAI APIs and partner-native capabilities. Use the appropriate integration path for the workload and validate permissions and data movement before deployment.
• Ecosystem enablement and scale: Create demos, workshops, reference architectures, and playbooks that partner engineers, field teams, and systems integrators can use independently.
• Cross-functional leadership and feedback: Work with Alliances, Sales, Product, Engineering, and Enablement to resolve blockers. Turn patterns across accounts into specific product feedback backed by evidence, and keep field guidance current on what is supported, what is limited, and what is not yet available.

Requirements

• Substantial experience leading technical engagements with enterprise engineering and business leaders across pre- and post-sales.
• Hands-on depth in at least one of OCI, Snowflake, or Databricks and can build credible architectures across the others. You understand enterprise data governance and know how to integrate OpenAI products into production systems.
• Can build in Python or a comparable language and have practical experience with APIs, retrieval, tool use, LLM evaluation, and secure cloud deployments.
• Can explain how a workload is purchased, accessed, served, metered, and supported without conflating those decisions. You build trust across sales and engineering, and measure success through customer adoption and partner self-sufficiency.