Job Description
Transform Enterprise Work with AI
At Oracle Customer Success Services (CSS), we're helping the world's leading organizations redefine how work gets done through AI.
We're looking for an AI Solutions Engineer who thrives at the intersection of customer engagement, AI innovation, solution design, and enterprise transformation. In this role, you'll partner directly with customers to discover opportunities, design intelligent workflows, prototype agentic AI solutions, and guide them from concept to production.
If you enjoy solving complex business challenges, building with cutting-edge AI technologies, and seeing customers successfully adopt the solutions you create, this is the role for you.
Why You'll Love This Role
- Shape how enterprise customers adopt AI
- Build real-world agentic AI solutions—not just prototypes
- Work directly with executives, architects, engineers, and business leaders
- Blend business strategy with hands-on technical problem solving
- Help define reusable AI orchestration practices across Oracle CSS
What You'll Do Discover Opportunities
- Partner with customers to understand their business goals and operational challenges.
- Lead discovery sessions with business stakeholders, functional experts, architects, and delivery teams.
- Identify high-value opportunities where AI can improve efficiency, quality, and customer outcomes.
Design Intelligent Workflows
- Map current and future business processes.
- Translate conversations and requirements into:
- Process flows
- User stories
- Acceptance criteria
- Solution designs
- Implementation plans
- Define where AI agents should automate, collaborate, or defer to human expertise.
Build AI Solutions
- Configure and prototype agentic workflows using:
- AI models
- Low-code platforms
- APIs
- Integrations
- Orchestration frameworks
- Design intelligent decision paths, guardrails, human approvals, escalation logic, and recovery strategies.
Validate & Deliver
- Work closely with engineering teams to move prototypes into production.
- Define testing approaches, expected behaviors, edge cases, and operational safeguards.
- Present solutions to customers and incorporate feedback into continuous improvements.
Drive Customer Success
- Support deployment and adoption.
- Help customers build confidence in AI-enabled workflows.
- Identify adoption barriers and work collaboratively to resolve them.
- Capture successful patterns that can be reused across future customer engagements.
What Success Looks Like
- Turn ambiguous business problems into practical AI solutions
- Deliver clear, actionable requirements for engineering teams
- Build workflows that are secure, reliable, and production-ready