AI Solutions Engineers - Pre-Sales

AI Solutions Engineer

About the Role

We are seeking a dynamic AI Solutions Engineer to join my client's Enterprise Sales team. In this role, you will be the technical authority guiding enterprise clients through their AI transformation journey. You will showcase and implement cutting‑edge platforms such as Xinference (a unified serving framework for open‑source LLMs, multimodal, speech, and embedding models) and Xagent (an enterprise multi‑agent platform for autonomous execution, dynamic planning, and tool orchestration).

This is a client‑facing, hands‑on role where you will bridge business goals with technical solutions, design secure architectures, lead Proof‑of‑Concepts (POCs), and demonstrate how enterprises can reduce AI inference costs while deploying reliable autonomous agent workforces.

Key Responsibilities

• Pre‑Sales Discovery & Strategy: Lead technical discussions with senior stakeholders (CTOs, Heads of AI/ML, Infrastructure & Security teams) to uncover challenges and propose solutions.

• Solution Architecture: Design hybrid, private‑cloud, or air‑gapped deployments across AWS, Azure, GCP, or Kubernetes clusters.

• Proof‑of‑Concept Ownership: Drive 1–3 week POCs, building prototypes with Xagent to solve real enterprise use cases (e.g., automated document extraction, customer support automation).

• Security & Governance: Partner with InfoSec teams to ensure compliance with data sovereignty, sandboxing, and enterprise security standards.

• Customer Advocacy: Act as the voice of the customer, feeding insights back into product roadmaps for Xinference and Xagent.

What We’re Looking For

You should have 4–7+ years in Pre‑Sales, Solutions Architecture, or Technical Consulting (AI/Data Infrastructure)

Technical Expertise

• Strong knowledge of LLM serving engines (vLLM, TensorRT‑LLM, SGLang, Ollama), caching strategies, quantization, and GPU acceleration.

• Experience with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, Dify) and runtime planning, tool use, and RAG architectures.

• Proficiency in cloud infrastructure & compute (Docker, Kubernetes, GPU pooling, AWS/Azure/GCP).

• Advanced Python programming skills and familiarity with APIs, CLI tools, and benchmarking.

Business & Interpersonal Skills

• Ability to engage both executives and technical teams with confidence and clarity.

• Proven track record of supporting enterprise sales cycles and contributing to 6‑figure deals.

• Consultative mindset with strong problem‑solving and solution‑scoping abilities.

In this role, you will

• Be at the forefront of enterprise AI adoption in Singapore and ASEAN.

• Work with cutting‑edge AI platforms that redefine how enterprises deploy autonomous agents.

• Competitive compensation, performance incentives, and career growth opportunities.

• A collaborative, innovation‑driven environment where your expertise directly shapes client success.

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