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Razer

​Senior Manager, Agentic AI

Posted 2 Days Ago
Be an Early Applicant
In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
Lead the Agentic AI team to design and build autonomy systems for AI, managing projects and mentoring team members. Collaborate on system integration and align capabilities with business needs.
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Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.

Job Responsibilities :

We are seeking a Senior Manager of Agentic AI (Autonomy Systems) to lead the team, design and build the autonomy layer for AI systems — including agent frameworks, planners, memory systems, tool-use orchestration, and multi-agent coordination. This critical layer turns foundation models into intelligent, autonomous systems capable of multi-step reasoning and action in real environments.
This role includes tight collaboration with the AI Solution Architect to ensure that all agentic systems follow architectural standards, integrate cleanly with the broader AI stack, and evolve in a scalable, modular, and maintainable way. This is a highly technical leadership role requiring expertise in LLM/ML-based decision systems, planning algorithms, and agent frameworks.

Essential Duties and Responsibilities 

  • Lead the Agentic AI team, providing direction on autonomy frameworks, planning loops, and agent capability development. 

  • Define the strategic roadmap for agentic capabilities aligned with business needs and architectural guidelines. 

  • Define architectural blueprints for agent frameworks, planners, memory, orchestration layers, and tool-use systems, which meets architectural criteria for scalability, observability, maintainability and security 

  • Ensure agentic components align with the overall AI software tech stack, data flows, API standards, and system interfaces. 

  • Align Agentic AI autonomy capabilities with Foundational AI model behaviours, model APIs, while identifying requirements needed for planning and tool use. 

  • Integrate agentic systems into prototypes and products, together with the various evaluation feedback to improve reliability 

  • Define data logging needs for agent telemetry, reasoning trace, tool calls, and evaluation datasets. 

  • Manage a team of data scientists, software engineers and tool developers. 

  • Introduce state-of-the-art autonomy methods from research and open-source tooling. 

  • Provide mentorship and technical guidance to data scientists, data engineers and software developers. 

 

Pre-Requisites :

Qualifications 

  • 6+ years of experience in AI/ML engineering, agent systems, or autonomy frameworks. 

  • 2+ years in a managerial or leadership role overseeing AI-driven product development 

  • Strong background in LLM orchestration, planning algorithms, tool-use pipelines, or cognitive architectures. 

  • Ability to work in fast paced, high pressure, agile environment. 

  • Experience in agentic frameworks, LLM APIs, multimodal model integration, tool-calling 

  • Strong in programming languages such as Python, C++, C#. 

  • Architectural alignment with distributed systems, cloud deployment, and microservices. 

  • Familiarity with runtime monitoring, evaluation tools, and telemetry systems. 

  • Experience in developing and deploying applications running on cloud infrastructure such as AWS, Azure or Google Cloud Platform using Infrastructure as code tools such as Terraform, containerization tools like Dockers. 

  • Strong communication and leadership abilities, with a track record of leading successful AI projects with game studios, while working cross functionally across multiple teams. 

  • Proven ability to manage complex projects and teams 

  • Excellent problem-solving and analytical skills, with the ability to translate complex business problems into actionable insights. 

 

Education & Experience 

  • PhD or Master’s in Computer Science, AI, Machine Learning or related field from an accredited institution. 

 

Travel Requirements 

  • Role based in Singapore office and may require up to 1 travel trip per year. 

Razer is proud to be an Equal Opportunity Employer. We believe that diverse teams drive better ideas, better products, and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee across all the countries we operate in. We do not discriminate on the basis of race, ethnicity, colour, nationality, ancestry, religion, age, sex, sexual orientation, gender identity or expression, disability, marital status, or any other characteristic protected under local laws. Where needed, we provide reasonable accommodations - including for disability or religious practices - to ensure every team member can perform and contribute at their best.

Are you game?

Top Skills

AWS
Azure
C#
C++
Docker
Google Cloud Platform
Python
Terraform

Razer Singapore Office

1 One-north Cres, Singapore, 138538

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