AI Solutions Engineer — Customer Orchestration

Oracle Oracle · Enterprise · Seattle, WA +1

AI Solutions Engineer role focused on designing and building agentic AI solutions for enterprise customers, guiding them from concept to production. The role involves understanding customer needs, mapping business processes, configuring AI models and orchestration frameworks, and ensuring successful adoption.

What you'd actually do

  1. Partner with customers to understand their business goals and operational challenges.
  2. Map current and future business processes.
  3. Configure and prototype agentic workflows using: - AI models - Low-code platforms - APIs - Integrations - Orchestration frameworks
  4. Work closely with engineering teams to move prototypes into production.
  5. Support deployment and adoption.

Skills

Required

  • Customer Success, Solutions Engineering, Implementation, Technical Consulting, or Product Delivery
  • Building or configuring AI-powered or agentic workflows
  • Taking solutions from discovery through rollout and adoption
  • Translating business needs into technical solutions
  • Working effectively across business and technical stakeholders
  • Breaking down complex problems into structured, actionable requirements

Nice to have

  • Agent orchestration platforms
  • Low-code development platforms
  • Workflow automation tools
  • APIs and enterprise integrations
  • Model Context Protocol (MCP)
  • Webhooks and tool calling
  • AI evaluation and observability
  • Human-in-the-loop workflow design
  • Enterprise SaaS implementations
  • Oracle applications or ERP platforms

What the JD emphasized

  • build real-world agentic AI solutions—not just prototypes
  • guide them from concept to production
  • AI orchestration practices

Other signals

  • design intelligent workflows
  • prototype agentic AI solutions
  • guide them from concept to production
  • build real-world agentic AI solutions
  • AI orchestration practices