Enterprise AI Solutions Engineer – Presales & POCs

SKILLSFORCE MANAGEMENT CONSULTANCY PTE LTD

Singapore

On-site

SGD 90,000 - 130,000

Full time

14 days+
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Job summary

SKILLSFORCE MANAGEMENT CONSULTANCY PTE LTD in Singapore seeks a Presales AI Solutions Engineer to guide enterprise clients through AI transformation, showcasing Xinference and Xagent, and designing secure architectures for POCs that demonstrate cost‑effective autonomous agents.

This client‑facing role bridges business goals with technical solutions, coordinating with security and infrastructure teams for governance and scalable deployments across clouds.

Qualifications

  • 2–4 years in Pre-Sales, enterprise solution, AI Agentic or Technical Consulting.
  • Expertise in LLM serving engines and GPU acceleration.
  • Experience with LangChain, LlamaIndex, AutoGen, CrewAI, Dify.
  • Proficiency in cloud infrastructures (Docker, Kubernetes, AWS/Azure/GCP).
  • Strong Python programming with API/CLI familiarity.

Responsibilities

  • Lead technical discussions with executives and technical teams to uncover challenges and propose solutions.
  • Design hybrid, private‑cloud, or air‑gapped deployments across AWS/Azure/GCP and Kubernetes.
  • Drive 1–3 week POCs using Xagent to solve enterprise use cases such as document extraction or customer support automation.
  • Partner with InfoSec to ensure data sovereignty and security standards.
  • Advocate for customers and feed insights into product roadmaps for Xinference and Xagent.

Skills

LLM serving engines
Agent frameworks
Cloud infrastructure & compute
Python programming

Tools

Docker
Kubernetes
AWS
Azure
GCP

Job description

SKILLSFORCE MANAGEMENT CONSULTANCY PTE LTD in Singapore seeks a Presales AI Solutions Engineer to guide enterprise clients through AI transformation, showcasing Xinference and Xagent, and designing secure architectures for POCs that demonstrate cost‑effective autonomous agents.

This client‑facing role bridges business goals with technical solutions, coordinating with security and infrastructure teams for governance and scalable deployments across clouds.

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