Senior Data Scientist – AI Integration
Job Summary
Job Description
This Senior Data Scientist role in the AI Integration Pod involves evaluating, integrating, and scaling third-party AI tools. The candidate will build robust, scalable systems connecting external AI solutions with internal infrastructure to enable real-time capabilities across gaming and platform experiences. Responsibilities include building and maintaining internal tooling, pipelines, and wrappers to integrate external AI services, developing and optimizing in-house AI/ML models, and conducting benchmarking and trade-off analysis for external APIs. The role also involves collaborating with software engineering and DevOps teams to ensure secure, production-ready, and scalable deployments.
Must have:
- Minimum 3 years of experience in applied AI/ML or AI integration.
- Strong proficiency in Python and software engineering fundamentals.
- Experience working with LLM APIs, AI SDKs, and toolchains.
- Experience integrating external AI APIs into internal platforms.
- Familiarity with cloud environments and MLOps workflows.
Good to have:
- Exposure to vector databases, prompt engineering, or agent-based architectures.
- Strong ability to debug, test, and validate AI services in production.
- Ability to clearly communicate technical decisions and trade-offs.
- Passion for gaming and interest in using AI to enhance user experiences.
9 skills required
Job Details
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 :
This Senior / Data Scientist role sits within the AI Integration Pod, focused on evaluating, integrating, and scaling 3rd-party AI tools into Razer’s internal AI stack. You will play a critical role in building robust, scalable systems that bridge external AI solutions with our internal infrastructure to enable intelligent, real-time capabilities across gaming and platform experiences.The ideal candidate is a technically strong generalist with a strong grasp of applied AI/ML, experience working with external AI APIs (e.g., GenAI, vision, speech) and skilled in implementing and adapting AI solutions into production-grade systems. You will collaborate closely with AI Software Engineers, Data Scientists, and DevOps engineers to extend Razer’s AI capabilities through reliable, high-performance integration work.
Responsibilities include:
- Build and maintain internal tooling, pipelines, and wrappers to integrate external AI services (LLMs, speech, vision, agents) into Razer's ecosystem
- Develop and optimize lightweight in-house AI/ML models to enhance and complement 3rd-party tools
- Evaluate and prototype external AI solutions, focusing on code-level integration, architecture compatibility, and system performance
- Conduct benchmarking, trade-off analysis, and technical validation for external APIs and platforms
- Collaborate with software engineering and DevOps to ensure secure, production-ready, and scalable deployments
- Stay up to date with the latest developments in AI SDKs, APIs, toolchains, and deployment strategies
Pre-Requisites :
Pre-Requisites
Technical Skills:
- Minimum 3 years of hands-on experience in applied AI/ML, AI systems engineering, or AI integration
- Strong proficiency in Python and software engineering fundamentals, including experience with API design, data structures, and modular codebases
- Proven experience working with LLM APIs (e.g., OpenAI, Claude, Gemini), AI SDKs, and toolchains such as LangChain, Hugging Face, or RAG frameworks
- Experience integrating external AI APIs into internal platforms with attention to latency, throughput, and reliability
- Familiarity with cloud environments (AWS, GCP, or Azure) and MLOps workflows (e.g., model deployment, versioning, CI/CD for ML systems)
Preferred Qualifications
- Exposure to vector databases, prompt engineering, or agent-based architectures is a plus
- Strong ability to debug, test, and validate AI services in production environments
- Ability to clearly communicate technical decisions and trade-offs across engineering and AI teams
- Passion for gaming and interest in using AI to enhance user experiences is a plus
- Comfortable working in fast-paced, high pressure, agile environment.
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline
Are you game?
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About The Company
At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
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