Hybrid Solutions Engineer & Pre-Sales for Enterprise AI

ReN3; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

ReN3 is seeking a Forward Deployed Engineer & Pre-Sales (Hybrid) to own the final mile between the core product and a working deployment inside the client's environment. You will lead technical discovery, run PoCs, and guide deployments within client systems to demonstrate measurable value and align with governance requirements.

The role requires 5+ years in solutions engineering or technical consulting, strong AI/ML knowledge, and experience writing technical proposals.

Qualifications

• Bachelor's degree required.
• 5+ years in solutions engineering, deployment, or technical consulting.
• Knowledge of AI/Agentic AI/ML/LLM concepts and governance.
• Experience delivering technical demonstrations, POCs, and enterprise integrations.
• Experience supporting enterprise sales cycles and RFP/RFI responses.
• Excellent written English and async communication with distributed teams.
• Self-directed and comfortable in an early-stage company environment.

Responsibilities

• Lead technical discovery sessions with enterprise prospects and map pain points to ReN3 capabilities.
• Scope and run proof-of-concept engagements against client data and environments.
• Be involved in deployment to meet customer objectives and timelines.
• Address security, compliance, and architecture questions from client IT teams.
• Contribute to RFP/RFI responses, technical proposals, and architecture documents.
• Serve as product expert in customer meetings and relay feedback to roadmap teams.
• Build and maintain demo environments and technical collateral customized per vertical.

Skills

Discovery sessions

Proof-of-concept

Solution architecture

Enterprise integration

Sales enablement

Technical storytelling

Written English

Education

Bachelor's degree

Tools

Python

Job description

ReN3 is seeking a Forward Deployed Engineer & Pre-Sales (Hybrid) to own the final mile between the core product and a working deployment inside the client's environment. You will lead technical discovery, run PoCs, and guide deployments within client systems to demonstrate measurable value and align with governance requirements.

The role requires 5+ years in solutions engineering or technical consulting, strong AI/ML knowledge, and experience writing technical proposals.