AI Engineer Lead

AI Platform Lead

Financial Services Client | Hong Kong

About the Role

We are seeking an experienced AI Platform Lead to build and scale the enterprise AI platform that powers the next generation of AI applications across the organization. This role will lead the design, implementation, and governance of AI infrastructure, enabling AI Engineers and Data Scientists to develop, deploy, and operate production-grade AI solutions securely and efficiently.

You will play a key role in establishing AI platform standards, MLOps/LLMOps practices, and cloud-native architectures while working closely with technology, risk, security, and business stakeholders.

Key Responsibilities

• Lead the design and implementation of scalable AI platform architecture across cloud and on-premise environments.

• Establish and drive MLOps, LLMOps, and AgentOps capabilities.

• Build and manage AI infrastructure, including GPU environments, model serving, vector databases, and orchestration frameworks.

• Develop CI/CD pipelines and Infrastructure-as-Code (IaC) practices.

• Define AI platform governance, security controls, and operational standards.

• Partner with AI Engineers, Data Scientists, Architects, and Security teams to enable enterprise AI adoption.

• Evaluate emerging AI technologies and conduct proof-of-concept initiatives.

• Lead and mentor a team of AI Platform and Infrastructure Engineers.

Requirements

• 4+ years of software engineering, cloud, platform, or infrastructure experience, and building AI/ML platforms in production environments.

• Hands-on experience with Kubernetes, Docker, Terraform, Helm, and cloud platforms (Azure, AWS, or GCP).

• Strong understanding of LLMs, RAG, vector databases, agent frameworks, and AI deployment architectures.

• Experience implementing MLOps, LLMOps, or AgentOps frameworks.

• Familiarity with GPU infrastructure and model serving technologies such as vLLM, Ray, MLflow, or Kubeflow.

• Strong stakeholder management and leadership experience.

• Financial services experience is highly preferred.

Lead AI Engineer

Retail Client | Hong Kong

About the Role

We are looking for a hands-on Lead AI Engineer to build innovative AI and Agentic AI solutions that enhance customer experience, store operations, merchandising, and business productivity. You will lead the design and development of production-grade AI applications while mentoring a team of engineers and partnering with product, data, and business stakeholders.

This is an opportunity to shape the future of AI within one of Global leading retail organizations.

Key Responsibilities

• Lead the development of AI applications from concept through production deployment.

• Design and build agentic AI solutions leveraging LLMs, RAG, MCP, and multi-agent architectures.

• Develop AI-powered copilots, knowledge assistants, and workflow automation solutions.

• Collaborate with product, merchandising, digital, and operations teams to translate business needs into AI products.

• Drive best practices across software engineering, AI engineering, and model lifecycle management.

• Evaluate and integrate open-source AI technologies into the enterprise ecosystem.

• Mentor AI Engineers and establish engineering standards across the team.

• Deliver scalable, reliable, and business-oriented AI solutions.

Requirements

• 5+ years of software engineering experience.

• Strong developing AI or GenAI solutions in production.

• Strong programming experience with Python and modern backend frameworks.

• Hands-on experience with LLM frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.

• Experience building RAG pipelines, vector search, and agentic AI applications.

• Understanding of cloud-native architectures and DevOps practices.

• Proven ability to lead technical delivery and mentor engineering teams.

• Strong communication skills with both technical and non-technical stakeholders.