AI Platform Operations Specialist

VULCAN SHIELD GLOBAL PTE. LTD.; Singapore; On-site; SGD 77,000 - 117,000; Full time

Job summary

A tech company in cloud and AI operations is seeking an AI Platform Operations Specialist to manage and support their Google AI Studio environment. This role involves analyzing business processes to identify AI opportunities, designing and implementing AI solutions, and leading projects from inception to completion. Ideal candidates should possess a strong understanding of the AI stack and excellent communication skills to collaborate with diverse teams. Experience with cloud platforms like Google Cloud is highly preferred.

Qualifications

• Experience with cloud platforms, particularly Google Cloud.
• Familiarity with billing account management and IAM permissions.
• Prior experience supporting AI/ML development environments.

Responsibilities

• Analyze client business processes to identify high-impact AI opportunities.
• Design AI-powered solutions that integrate seamlessly into enterprise workflows.
• Lead and own projects end-to-end from problem discovery to delivery.

Skills

Product-first mindset

Strong understanding of the modern AI stack

Self-driven ownership

Rapid learner

Clear communicator

Tools

Google Cloud

Job description

Join us at the intersection of cloud technology, AI innovation, and business operations. As our AI Platform Operations Specialist, you will play a pivotal role in shaping and supporting our Google AI Studio (Gemini API) environment. This position offers a unique opportunity to work across business operations and ensuring our AI development runs smoothly, securely, and cost‑efficiently. Operate private AI systems, and build AI infrastructure that solves real business challenges. Our work sits at the intersection of engineering, product, and applied AI—turning cutting‑edge technology into practical, reliable tools for enterprise use.

You will take ownership of our AI infrastructure, managing project access, controlling budgets, and maintaining IT compliance. Your work directly empowers our technical teams to innovate with cutting‑edge AI technology while safeguarding the company’s financial and operational integrity.

If you enjoy working with cloud platforms, collaborating across teams, and building reliable systems that support high‑impact AI initiatives, this role will place you at the center of our next‑generation technology strategy.

What You’ll Do

• Analyze client business processes to identify high‑impact AI opportunities.

• Design AI‑powered solutions that integrate seamlessly into enterprise workflows.

• Architect agent systems, automation pipelines, and enterprise knowledge bases.

• Translate business requirements into functional, production‑ready AI products.

• Lead and own projects end‑to‑end—from problem discovery to delivery and deployment.

What We’re Looking For

• Product‑first mindset — you start with the problem, not the tools.

• Strong understanding of the modern AI stack, including:

  • Agent orchestration and multi‑step workflows.

  • Memory systems, RAG, and context management.

  • Tool calling, structured outputs, and system integrations.

• Self‑driven ownership — you deliver outcomes, not just completed tasks.

• Rapid learner — comfortable keeping pace with fast‑moving AI technology.

• Clear communicator — able to explain complex technical ideas to non‑technical stakeholders.

Nice to Have

• Experience transforming ambiguous requirements into shipped products.

• Familiarity with reasoning/thinking models and their practical applications.

• A track record of building AI products that users actually adopt.

We Don’t Care About

• How many years of experience you have.

• Your academic pedigree or degrees.

What Matters

You understand how AI creates real business value and you can build products that deliver that value reliably, at scale.

PREFFERED REQUIREMENTS

• Experience with cloud platforms (Google Cloud preferred).

• Familiarity with billing account management and IAM permissions.

• Attention to detail and ability to ensure compliance.

• Effective coordination with engineering teams.

• Prior experience supporting AI/ML development environments.

• Understanding of cloud cost governance and budget alerts.

• Hands‑on knowledge of Cloud billing structure.