Solution Architect (AI)

ALTROCKS TECH PTE. LTD.; Singapore; On-site; SGD 120,000 - 210,000; Full time

Job summary

ALTROCKS TECH PTE. LTD. is seeking a seasoned AI/ML architect with deep hands-on experience across data, cloud and enterprise technology. You will drive architecture, lead engineering teams, and collaborate with enterprise customers to deliver scalable AI solutions.

The role emphasizes strong Python development, cloud-native infrastructures, and governance practices in regulated environments. Experience with modern AI ecosystems and MLOps is highly valued.

Qualifications

• 8–10 years of relevant professional experience in AI/ML, data, cloud, infrastructure or enterprise tech.
• Hands-on architecture and engineering capability, with Python.
• Experience with Kubernetes, Docker and Terraform in modern cloud environments.
• Familiarity with PyTorch, Hugging Face, LangChain and vector databases.
• Understanding of RAG, MLOps/LLMOps and AI evaluation.
• Exposure to AI governance, security, bias/risk mitigation or responsible AI.
• Strong grounding in enterprise data and data quality.
• Proven ability to lead or mentor technical teams and engage with enterprise customers.
• Experience in regulated industries or sovereign environments is a strong advantage.

Skills

AI/ML architecture

Python

Cloud/infrastructure

Enterprise tech

Team leadership

Data quality

Customer engagement

Regulated industries

AI governance

Tools

Kubernetes

Docker

Terraform

Job description

• 8–10 years of relevant professional experience across AI/ML, data, cloud, infrastructure or enterprise technology, with strong hands‑on architecture and engineering capability.
• Strong hands‑on architecture and engineering capability, including Python.
• Experience with Kubernetes, Docker, Terraform and modern cloud/infrastructure environments.
• Familiarity with modern AI ecosystems such as PyTorch, Hugging Face, LangChain, LlamaIndex and vector databases.
• Understanding of RAG, MLOps/LLMOps, AI evaluation and agentic AI architectures.
• Exposure to AI governance, security, bias/risk mitigation, red‑teaming or responsible AI.
• Strong grounding in enterprise data, data quality and integration.
• Proven ability to lead or mentor technical teams and engage confidently with enterprise customers.
• Experience in regulated industries, private AI or sovereign environments is a strong advantage.