AI Technical Lead
Reports To: Director
Employment Type: Full-Time
Location: Mutiara Damansara, Petaling Jaya
About the Role
This is a strategic technical leadership role responsible for designing, architecting and implementing enterprise-grade AI solutions that improve business productivity.
Key Responsibilities
AI Product Strategy
- Define the AI roadmap for Payroll and HR products.
- Identify opportunities to introduce AI into existing business workflows.
- Collaborate with Product Managers to design AI-powered features.
- Translate business requirements into scalable AI solutions.
- Evaluate emerging AI technologies and recommend adoption strategies.
AI Architecture & System Design
- Design enterprise AI architecture for SaaS platforms.
- Architect scalable AI microservices.
- Design AI orchestration layers and workflow engines.
- Create secure and maintainable AI system architecture.
- Design multi-tenant AI services.
- Ensure AI solutions meet enterprise security, compliance, and scalability requirements.
Large Language Model (LLM) Development
Design and implement solutions using:
- OpenAI API
- Azure OpenAI
- GPT Models
- AI Assistants
- AI Copilots
- Enterprise Chatbots
Responsibilities include:
- AI Chat implementation
- AI Prompt Engineering
- Context Management
- Conversation Memory
- AI Guardrails
- AI Safety
- Model Evaluation
AI Function Calling & Tool Integration
Design intelligent AI capable of interacting with business systems through Function Calling.
Examples include:
- Generate payroll reports
- Calculate payroll
- Submit leave applications
- Approve claimsRetrieve employee information
- Generate HR letters
- Create payslips
- Execute payroll workflows
- Call internal REST APIs
- Connect with ERP systems
AI Agents & Workflow Automation
Design and implement AI Agents capable of:
- Multi-step reasoning
- Workflow orchestration
- Tool selection
- API integration
- Business process automation
Build intelligent workflows for:
- Payroll Processing
- Leave Management
- Claims Processing
- Employee Self-Service
- HR Operations
- Compliance Checking
- Policy Guidance
- Knowledge Search
- Document Generation
- Report Automation
Retrieval-Augmented Generation (RAG)
Design enterprise knowledge solutions using:
- Company policies
- Payroll regulations
- HR documents
- SOPs
- Internal documentation
- Knowledge base articles
Responsibilities include:
- Document ingestion
- Embedding pipelines
- Vector databases
- Semantic Search
- Knowledge retrieval
- AI answer generation
Technical Leadership
- Lead AI engineering projects from concept to production.
- Mentor software engineers and AI developers.
- Conduct architecture reviews.
- Establish engineering standards and best practices.
- Drive technical innovation.
- Collaborate across Engineering, Product, and Business teams.
Qualifications
Minimum 2+ years of hands-on AI / LLM engineering experience.
Candidates should be able to convert business requirements into scalable AI solutions.
AI & LLM
- OpenAI API
- Azure OpenAI
- LangChain
- LangGraph
- LlamaIndex
- AI Agents
- Function Calling
- Tool Calling
- Prompt Engineering
- RAG
- Embeddings
- Semantic Search
- Vector Search
Vector Databases
- Pinecone
- Weaviate
- Milvus
- Chroma
- pgvector
- Qdrant
AI Architecture
Strong understanding of:
- Agentic AI
- Multi-Agent Systems
- AI Workflow Design
- AI Memory
- AI Planning
- Model Context Protocol (MCP)
- Context Engineering
- Prompt Optimization
Preferred Experience
Experience designing AI solutions including:
- AI Chat
- AI Copilot
- AI Search
- AI Automation
- AI Workflow Engine
- AI Document Intelligence
- AI Knowledge Base
- AI Customer Support
- Enterprise AI Platform
Sub Specialization : Information Technology;Others Type of Employment : Permanent Minimum Experience : 3 Years Work Location : Selangor