Senior AI Engineer

Dassault Systèmes; Petaling Jaya; On-site; MYR 80,000 - 110,000; Full time

Benefits offered by this job

Dedicated learning budget

Hands-on exposure to real-world challenges

Clear career pathways

Job summary

Dassault Systèmes is hiring a Senior AI Engineer in Kuala Lumpur, Malaysia. In this pivotal role, you will architect intelligence and shape model behavior to build a virtual companion for Operation Planning & Optimization applications.

You will collaborate with cross-functional teams, leveraging your expertise in AI/ML, to ensure product safety and reliability. The role requires extensive experience with LLM frameworks and programming in Python, fostering a culture of innovation in AI delivery.

Join us at Dassault Systèmes and impact the future of AI solutions in a diverse and inclusive environment.

Qualifications

• 5-8 years in software development with relevant experience in leading AI/ML development projects.
• Excellent English communication skills to explain technical concepts to non-technical stakeholders.
• Experience in coordinating, leading, and executing projects based on strategic vision.

Responsibilities

• Design, test, and iterate prompts for reasoning and user experience.
• Build and manage agentic workflows including tool calling and memory management.
• Implement guardrails and monitoring mechanisms for AI safety.

Skills

A strong grasp of LLM fundamentals

Proficiency in Python

Prompt Engineering & Evaluation

Collaboration skills

Education

Bachelor’s degree or above

Tools

Azure OpenAI

LangChain

LangGraph

Job description

Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering, as we are hiring a Senior AI Engineer in Kuala Lumpur, Malaysia! We are building a virtual companion for Operation Planning & Optimization applications that can reason, retrieve, and act autonomously. Powered by large language models (LLMs) and agentic workflows, the product will redefine how our customers interact with complex planning data. As an AI Engineer you will architect the intelligence, shape model behavior, and ensure safety and reliability at scale.

Role Responsibilities & Job Description

• Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
• Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
• AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
• Technical Leadership & Solution Ownership: Lead the technical direction of AI initiatives by driving architecture decisions, establishing best practices, mentoring team members, and guiding the end-to-end delivery of scalable AI solutions.
• Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.

Requirements & Qualifications

Technical Requirements

• AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
• Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
• Programming: Proficiency in Python.
• LLM API Integration: Hands‑on with Azure OpenAI, Anthropic, or similar

Agentic AI Frameworks: Hands‑on experience working with agentic AI frameworks such as LangChain and LangGraph involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.

Preferred Qualifications

• Bachelor’s degree or above, with 5-8 years in software development and relevant experience in leading AI/ML development project.
• Strong analytical and problem-solving skill
• Experience in coordinate, lead and execute project based on strategic vision.
• Excellent people skills with collaborative attitude, team player
• Clear written & verbal English; ability to explain technical concepts to non‑technical stakeholders.
• A proactive mindset toward identifying "edge case" behaviors in generative models.

What's in it for you?

• You will be working at the intersection of Software Engineering, Data Science, and Ethics. You will play a pivotal role in defining what "quality" means for the next generation of Virtual Companions, helping us build AI that users can trust and enjoy.
• Impact: Directly shape a product that will be used by global supply chain leaders.
• Innovation: Work at the intersection of Generative AI, agentic systems, and real world optimization.
• Culture: Collaborative, ethically driven, and inclusive environment.
• Growth: Dedicated learning budget, hands‑on exposure to real‑world supply‑chain challenges, clear career pathways

Inclusion statement

As a game-changer in sustainable technology and innovation, Dassault Systèmes is striving to build more inclusive and diverse teams across the globe. We believe that our people are our number one asset and we want all employees to feel empowered to bring their whole selves to work every day. It is our goal that our people feel a sense of pride and a passion for belonging. As a company leading change, it’s our responsibility to foster opportunities for all people to participate in a harmonized Workforce of the Future.