AI Adoption Architect & Enterprise AI Evangelist

Oracle Corporation; United States; On-site; USD 180,000 - 280,000; Full time

Job summary

Oracle Corporation is seeking an accomplished technical leader to shape AI adoption programs and accelerate enterprise AI outcomes. You will fuse executive engagement, hands-on enablement, and practical implementations to scale AI across customers and Oracle teams.

You will design scalable programs, build repeatable approaches, and mentor engineers and architects, turning experimentation into production-ready solutions with governance and measurable impact.

Responsibilities

• Design, launch, and scale AI adoption programs that help customers progress from awareness and use‑case discovery to experimentation, validation, and implementation.
• Build integrated programs incorporating executive briefings, AI Experiences, innovation workshops, hands‑on labs, and structured technical follow‑through.
• Help customers assess AI readiness, prioritize opportunities, and define adoption roadmaps with clear ownership and measurable outcomes.
• Establish program objectives, delivery approaches, reusable assets, and feedback mechanisms that support consistent execution across teams.
• Measure success through customer progression, validated use cases, implementation milestones, and sustained adoption.
• Architect and build working solutions using generative AI, AI agents, retrieval‑augmented generation, vector search, and agentic workflows.
• Connect AI capabilities to enterprise data, applications, APIs, and business processes.
• Develop compelling demonstrations that communicate business value while standing up to technical scrutiny.
• Evaluate solution quality, reliability, security, latency, and cost, and explain the requirements for moving from prototype to production.
• Turn successful concepts into reusable reference implementations, demonstrations, and hands‑on learning experiences.
• Serve as a trusted advisor to executives, technical leaders, and practitioners on enterprise AI strategy and adoption.
• Translate rapidly evolving AI capabilities into clear business implications, architectural choices, and actionable next steps.
• Lead executive briefings, customer workshops, conference presentations, webinars, and strategic technical discussions.
• Develop substantive technical content and practical guidance grounded in direct experimentation and customer experience.
• Articulate Oracle’s approach to enterprise AI with technical credibility and a clear understanding of the broader ecosystem.
• Equip evangelists, architects, sales teams, and partners to deliver effective AI engagements and adoption programs.
• Build facilitator guides, workshop curricula, labs, solution patterns, and implementation guidance that others can use and extend.
• Mentor technical professionals in AI architecture, hands‑on development, customer discovery, and executive communication.
• Partner with Product Management, Engineering, Marketing, and field leadership to align programs with customer needs and technical capabilities.
• Translate recurring customer challenges into actionable feedback that informs product direction and adoption strategy.
• Help customers understand how data quality, access, integration, security, and governance affect AI outcomes.
• Design approaches that connect models and agents to relevant enterprise information with appropriate controls.
• Apply Oracle’s data and cloud capabilities to support retrieval, contextual grounding, analytics, and enterprise integration.
• Guide architectural tradeoffs across existing customer environments, including multicloud and hybrid deployments.
• Enterprise AI: Generative AI, foundation models, AI agents, agentic workflows, tool integration, retrieval‑augmented generation, embeddings, vector search, and evaluation.
• AI adoption and programs: Use‑case discovery, readiness assessment, executive engagement, innovation workshops, hands‑on learning, adoption roadmaps, and outcome measurement.
• Responsible implementation: AI security, governance, access controls, human oversight, observability, reliability, and cost management.
• Supporting data and cloud platforms: Oracle Database, Autonomous Database, AI Vector Search, OCI, data integration, analytics, APIs, and multicloud architectures.

Job description

Oracle Corporation is seeking an accomplished technical leader to shape AI adoption programs and accelerate enterprise AI outcomes. You will fuse executive engagement, hands-on enablement, and practical implementations to scale AI across customers and Oracle teams.

You will design scalable programs, build repeatable approaches, and mentor engineers and architects, turning experimentation into production-ready solutions with governance and measurable impact.