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This job is for an AI Agent Architect who designs smart AI systems to assist with technical decisions. You might like this job because it involves innovative problem-solving in engineering, and you'll get to work independently and travel to Kuwait!
Undisclosed
George Town, Penang Malaysia, Kuala Lumpur
Job Description
Project description
We are seeking a hands-on and qualified AI Agent Architect to design and deploy advanced Agentic AI systems—comprising task-specific autonomous tools governed by a master agent—to support complex technical decision-making in industrial environments.
This is a high-impact individual contributor role for someone who can independently deliver full-stack intelligent agents that interpret natural language queries and generate precise, context-aware outputs by interacting with structured and unstructured data, APIs, and analytical engines.
Responsibilities
Architect and develop a multi-agent AI framework where autonomous agents coordinate to solve domain-specific technical queries.
Leverage LLMs, NLP, and tool-based reasoning to automate data extraction, analysis, and insight generation.
Build agents capable of integrating with engineering tools, simulators, databases, and knowledge sources.
Collaborate with domain experts to align agent behavior with technical expectations and constraints.
Implement safeguards to ensure accuracy, traceability, and reliability of AI-generated outputs.
Continuously optimize prompting, agent orchestration, and performance under real-world conditions.
Skills
Must have
Demonstrated expertise in building Agentic AI architectures, using frameworks like LangChain, AutoGen, CrewAI, or custom stacks.
Strong foundation in LLM-based NLP, prompt engineering, and context-aware reasoning.
Advanced Python programming and experience deploying AI workflows in cloud or containerized environments.
Ability to work with APIs, data models, and external toolchains across complex systems.
Comfortable operating independently with minimal supervision in a cross-functional environment.
Ready for a long term business trip to Kuwait for first 6-12 months
Nice to have
Exposure to industrial domains such as energy, manufacturing, or heavy engineering.
Understanding of vector databases, knowledge graphs, and retrieval-augmented generation.
Familiarity with Azure or AWS development environments.
Certifications:
Azure AI Engineer or Azure Data Engineer certification is a plus.
AWS experience is nice to have, but not required.
Industry Experience:
Oil and gas domain experience is a strong advantage, especially familiarity with digital operations or engineering workflows.
However, candidates with relevant AI system-building experience in other complex industries are encouraged to apply.
Other
Languages
English: C1 Advanced
Seniority
Lead
Job Requirements
Company Benefits
Friendly environment
Enjoy coming to a workplace where you’re treated with respect within a multicultural team.
Corporate celebrations
Take part in fun, international social activities organized for your location.
Mobility Hub
Open the door to new career opportunities by transferring to new projects or teams.
Self-learning library
Dive into a wealth of learning that’s at your fingertips with our vast online library of eBooks and resources.
Work-life balance
Support your (me-time) by setting up a flexible working arrangement.
Employee health and well-being
Take advantage of health programs, diversity and inclusion events and sporting activities to keep you fit and well.
Additional Info
Company Activity
Last active - few hours ago
Experience Level
0 - 10 Years of Experience
Company Profile
