Partner Applied AI Engineer (Cloud ISV)

Quick Facts

• Role: Technical leader for partner engagements focused on deploying OpenAI solutions across Oracle Cloud, Snowflake, and Databricks

• Scope: Discovery, architecture, evaluation, and production readiness with clear ownership for security, billing, support, and operations

Description

Lead partner-focused technical engagements to bring OpenAI capabilities into customer applications, data platforms, and developer workflows built on Oracle Cloud, Snowflake, and Databricks. Guide customers from joint account discovery through evaluation and production while ensuring workload governance and ownership for security, billing, support, and operations. Build reference implementations and enablement assets that partners and field teams can reuse independently.

Responsibilities

• Shape partner strategy by building relationships with Oracle, Snowflake, and Databricks field leaders and prioritizing joint opportunities with a clear production path

• Lead technical discovery, architecture, prototyping, evaluation, and production readiness with account teams

• Validate model/feature availability, identity and network boundaries, data handling and residency, capacity, metering, and support ownership

• Build reference implementations using OpenAI APIs and partner-native capabilities (OCI application/data services, Snowflake Cortex AI, Databricks Mosaic AI Model Serving)

• Put evaluation, observability, and deployment practices in place to measure quality, safety, reliability, latency, and cost

• Create demos, workshops, reference architectures, and playbooks for partner engineers, field teams, and systems integrators

• Collaborate cross-functionally to resolve blockers and turn deployment patterns into product feedback backed by evidence

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; able to build credible architectures across the others

• Strong understanding of enterprise data governance and experience integrating OpenAI products into production systems

• Ability to build in Python or a comparable language

• Practical experience with APIs, retrieval, tool use, LLM evaluation, and secure cloud deployments

• Ability to clearly explain workload purchasing, access, serving, metering, and support ownership without conflating decisions

• Ability to measure success through customer adoption and partner self-sufficiency

Benefits

• Equal opportunity employer

• Reasonable accommodations available for applicants with disabilities