Senior Manager - AI Engineer

Zurich Insurance; Kampung Malaysia Tambahan; On-site; MYR 120,000 - 180,000; Full time

Job summary

Zurich Insurance seeks an AI Engineering lead to design, develop, and deploy production-ready AI solutions that integrate into enterprise applications and business workflows. You will build scalable AI platforms, reusable components, and intelligent copilots to boost efficiency and customer experience.

The role requires hands-on experience with LLMs, LangGraph, RAG architectures, and multi-agent systems, plus deployment on Microsoft Azure.

Qualifications

• 3+ years in AI engineering or 5+ years in software/ML engineering.
• Strong Python programming and software craftsmanship.
• Hands-on experience building and deploying LLM-based applications.
• Experience with AI orchestration and agent frameworks such as LangGraph.
• Experience designing and deploying RAG architecture, vector databases, multi-agent systems
• Experience with developing on Microsoft Azure

Responsibilities

• Design, develop, and deploy AI solutions that integrate into enterprise apps and workflows.
• Build scalable AI platforms and reusable components for multiple business functions.
• Develop intelligent copilots, conversational assistants, and autonomous agent systems.
• Establish best practices for AI engineering, MLOps, governance, and responsible AI.
• Design AI-powered apps, APIs, and services using modern software practices.
• Deploy generative AI and agentic AI solutions for business and customer use cases.
• Create autonomous agent systems capable of planning, reasoning, and workflow automation.
• Implement multi-agent architectures for complex processes with specialized agents.
• Integrate AI systems with enterprise tools, APIs, databases, and apps.
• Develop evaluation and guardrail mechanisms for reliability, safety, and compliance.
• Optimize model latency, token usage, infrastructure, and costs.
• Ensure compliance with governance, security, and privacy requirements

Skills

Python

LLM/Generative AI

AI engineering

Agent frameworks LangGraph

RAG architecture

Multi-agent systems

Software engineering best practices

Azure cloud

Tools

Microsoft Azure

Vector databases

LangGraph

Job description

Objectives of the role

• Design, develop, and deploy production-ready AI solutions that integrate seamlessly into enterprise applications and business workflows.
• Build scalable AI platforms and reusable components to accelerate AI adoption across multiple business functions.
• Develop intelligent AI copilots, conversational assistants, and autonomous agent systems that improve operational efficiency and customer experience.
• Establish best practices for AI engineering, MLOps, governance, monitoring, and responsible AI implementation.

Key Responsibilities

• Design and implement AI-powered applications, APIs, and services using modern software engineering practices.
• Develop and deploy generative AI, and agentic AI solutions for business and customer-facing use cases.
• Design and build autonomous and semi-autonomous AI agent systems capable of planning, reasoning, tool usage, and workflow automation.
• Implement multi-agent architectures for complex business processes requiring collaboration between specialized AI agents.
• Integrate AI systems with enterprise tools, APIs, databases, and business applications.
• Develop evaluation and guardrail mechanisms to ensure reliability, safety, accuracy, and compliance.
• Optimize model latency, token consumption, infrastructure utilization, and operational costs.
• Ensure AI solutions comply with enterprise governance, security, privacy, and regulatory requirements.

Required Skills & Qualifications

• 3 years + of experience in AI engineering or 5+ years of experience in software engineering, machine learning engineering or related disciplines
• Strong programming experience in Python and familiarity with software engineering best practices.
• Hands-on experience building and deploying LLM-based applications and generative AI solutions.
• Experience with AI orchestration and agent frameworks such as LangGraph.
• Experience designing and deploying RAG architecture, vector databases, multi-agent systems
• Experience with developing on Microsoft Azure

You are the heart & soul of Zurich!

At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right?

We highly value the experience and know-how of our employees and offer a wide range of opportunities across business areas to encourage you to apply for new opportunities within Zurich when you are ready for your next career step.

Let's continue to grow together!

Location(s): MY - Kuala Lumpur

Schedule: Full Time