AI Platform Engineer
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About the role
Wilhelmsen Ship Management is one of the world's largest third-party ship managers originated from Oslo, Norway with a portfolio of more than 450 vessels, a pool of more than 14,000 seafarers and over 900 shore-based employees all over the world. Our employees are working with a comprehensive global maritime group providing over half of the merchant fleet with essential products and services, along with supplying crew and technical management to the largest and most complex vessels ever to sail. We offer a culture and vibrant work environment of strong leadership, collaborative, career development, work-life balance and a job that is both challenging and stimulating. All team members are empowered with the freedom to influence each other as long it complies with our Company's values and vision. We are building the foundation for AI across WSM. Our goal is to move from isolated AI experiments to scalable, governed, and high-impact AI usage across all teams. To achieve this, we are establishing a unified AI platform and enabling teams to use AI as part of their daily work and products. As an AI Platform Engineer, you will build and operate this platform and enable teams across WSM to use AI in a safe, modern, and scalable way. What You'll Responsible For:
Responsibilities
- AI Platform (Data + Dev)
- You will build the foundation for AI at WSM.
- Develop a unified AI platform using: Azure AI Foundry
- Snowflake Cortex AI
- GitHub ecosystem (Copilot, CI/CD)
- Provide a single path for LLM access and agent development
- Build reusable capabilities: RAG pipelines
- Agent workflows
- Prompt evaluation and management
- Ensure integration with Snowflake and dbt data foundation
- Embed security, cost control, and governance by design
- AI Adoption (Copilot / LLMs)
- You will help make AI part of everyday work.
- Roll out and support Copilot and enterprise AI tools
- Reduce friction in access, onboarding, and usage
- Develop guidelines and guardrails for safe usage
- Provide playbooks and examples for: Coding
- Writing
- Analysis
- Track real usage and impact, not just licenses
- Domain AI Enablement
- You will support product teams in building AI that creates value.
- Work with domain teams (operations, fleet, compliance, etc.)
- Help teams build use-case driven AI solutions
- Provide reference patterns: RAG on internal data
- AI agents and workflows
- Promote platform-first over custom ML
- Support production-ready solutions (performance, reliability, scaling)
- What success looks like
- Teams use a common AI platform instead of building ad-hoc solutions
- AI tools are used daily across roles, not just in experiments
- Product teams deliver AI-driven capabilities in production
- AI usage at WSM is secure, scalable, and cost-controlled
- Required Qualifications
- Strong software engineering background (backend/platform)
- Experience with cloud platforms (Azure preferred)
- Solid understanding of APIs, integrations, and system design
- Experience with data platforms (e.g., Snowflake, SQL, dbt or similar)
- Exposure to LLMs, embeddings, or RAG concepts
Requirements
- Experience with Azure AI services or similar platforms
- Familiarity with GitHub and developer tooling
- Experience building internal platforms or enabling other teams
- Interest in applying AI to real business problems
- Why join WSM?
- Build a core platform used across the entire company
- Work at the intersection of engineering, data, and AI
- Enable real business impact in fleet, operations, and customer domains
- Be part of a pragmatic, product-focused engineering organization
- Location
- The position will be based in Kuala Lumpur office located at KL Sentral which is a strategic work location with convenience travelling by Monorail, Rapid Kelana Jaya Line, MRT and KTM services as well as easy to get to go by public transportation.
Benefits
Additional Information
Join our global team for a career filled with opportunities to solve challenges both small and large, local and global, simple and complex.
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