Senior Manager, Agentic AI

Razer is seeking a Senior Manager of Agentic AI (Autonomy Systems) to lead a team in designing and building the autonomy layer for AI systems. This includes agent frameworks, planners, memory systems, tool-use orchestration, and multi-agent coordination. The role involves transforming foundation models into intelligent, autonomous systems capable of multi-step reasoning and action in real environments, collaborating closely with the AI Solution Architect to ensure architectural standards and scalable integration.

Must Have

• Lead the Agentic AI team and provide 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.
• 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 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.
• 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.
• 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.
• PhD or Master’s in Computer Science, AI, Machine Learning or related field from an accredited institution.

Perks & Benefits

• Opportunity to make an impact globally
• Working across a global team located across 5 continents
• Gamer-centric #LifeAtRazer experience
• Accelerated growth, both personally and professionally
• Inclusive, respectful, and fair workplace
• Reasonable accommodations for disability or religious practices

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?

About Us

At Razer, you’ll be at the forefront of the most exciting industry in the world: gaming. As gaming evolves, so does the ecosystem that powers it: hardware, software and services. Guided by our mission “For Gamers. By Gamers.”, we create cutting-edge products and experiences that define the ultimate gameplay. Staying true to our mission, we’re relentlessly pushing boundaries and leading the charge in AI for gaming, shaping the future of the industry. At Razer, you won’t just witness this evolution; you’ll help drive it.

Joining Razer means being part of a global mission to bring gamers closer to the games they love. Whether you’re crafting the next generation of gaming gear or powering our global operations behind the scenes, you’ll take on meaningful work in a truly international, cross-cultural environment. The journey toward Being Phenomenal isn’t always easy, but gamers excel through teamwork, grit, and problem-solving. Our people are what make Razer exceptional. Together, we’ll take Razer to even greater heights.

Razer is proud to be certified a Great Place to Work® in both the United States and Singapore, and recognized as a Singapore Top Employer by the Top Employer Institute, reflecting our commitment to making your journey here a rewarding one.

Equal Opportunity Employer

At Razer, we believe diverse teams build better ideas and a stronger culture. We are committed to providing an inclusive, respectful, and fair workplace for every employee. 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 by the laws of the countries we operate in. We also provide reasonable accommodations where needed — including for disability or religious practices — so every team member can perform and contribute at their best.