Solutions Engineer, AI

About Oriona

Oriona is a Bangkok-based enterprise AI platform built around a simple problem: most companies can't trust the answers their AI gives them. We provide a governed orchestration layer that connects large language models to enterprise data, runs securely in the customer's own environment, and keeps costs and accuracy under control. We work hands-on with enterprise clients to take AI from promising demo to production, and we're growing our team to meet that demand.

About the role

We're looking for a Solutions Engineer who can sit at the intersection of technology and customers. You'll work across the full customer journey: from pre-sales technical conversations, through solution design in the project phase, to hands-on forward-deployed work embedding with clients to make sure Oriona delivers real value.

This is a varied, customer-facing role for someone who enjoys both the technical depth and the people side of building solutions.

What you'll do

• Partner with the sales team as the technical voice in customer conversations: demos, scoping, answering technical questions, and addressing security and architecture concerns
• Translate customer needs into solution designs and help shape how Oriona is deployed for each client
• Work directly with customers during implementation, sometimes embedded with their teams, to configure, integrate, and troubleshoot
• Build proofs of concept and help customers see what's possible
• Act as a bridge between customers and our product/engineering teams, feeding back what you learn in the field
• Support customers through onboarding and into early adoption

What we're looking for

• Comfortable being technical and customer-facing at the same time: you can talk to engineers and business stakeholders
• Some experience with software, cloud, data, or AI/ML (formal or self-taught)
• Able to understand and work with APIs, integrations, and system architecture at a working level
• Strong communication skills in Thai and English , since you'll be working with local enterprise clients
• Curious, hands-on, and willing to learn quickly in a fast-moving space
• Bonus: exposure to LLMs / generative AI, enterprise software sales cycles, or solution consulting

Nice to have

• Background in computer science, engineering, or a related technical field
• Experience in a startup or fast-paced environment
• Familiarity with enterprise data, security, or governance concerns