Job Description

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 visionary and technically skilled AI Lead who leads the design, development, and governance of enterprise-grade AI solutions, with a strong focus on Microsoft technologies. This role is ideal for a strategic thinker and hands-on technologist who thrives in driving innovation, ensuring compliance, and delivering scalable AI systems that transform business operations.

As a core member of the AI team, you will lead the technical strategy, establish best practices for AI governance, and collaborate with cross-functional teams to deliver impactful solutions. Your expertise in Microsoft Azure AI services, Power Platform, and MLOps will be central to success in this role.

We are seeking a seasoned AI Lead to drive the strategy, architecture, and governance of enterprise-grade AI solutions. This role sits at the intersection of cutting-edge AI engineering and enterprise leadership, owning the technical direction across Microsoft Azure AI, Anthropic Claude, AWS Bedrock, and the broader open-source AI ecosystem. The ideal candidate is a decisive technologist who can operate at both the strategic and hands-on level, delivering scalable, secure, and compliant AI systems that create measurable business value.

Roles and Responsibilities

• Architect and deliver enterprise AI solutions across Microsoft Azure AI Foundry, Azure OpenAI, Azure Machine Learning, AWS Bedrock, and Anthropic Claude (Claude.ai, Claude Code, Claude Cowork, and the Claude Platform/API), ensuring scalability, security, and seamless enterprise integration
• Lead enterprise adoption of agentic AI, designing and overseeing multi-agent orchestration systems capable of autonomous reasoning, planning, and tool use across complex business workflows
• Implement Model Context Protocol (MCP) and retrieval-augmented generation (RAG) pipelines with vector stores to enable grounded, context-aware AI interactions at scale
• Evaluate and integrate frontier and open-weight LLMs (e.g., GPT, Claude, Llama, Kimi, Qwen, GLM) across cloud, private-cloud, and on-premises deployments, balancing performance, cost, and compliance requirements
• Promote AI-assisted development tooling (e.g., Claude Code, Kiro, Cursor, GitHub Copilot, OpenCode) to uplift engineering productivity and code quality across teams
• Drive LLMOps and MLOps practices, encompassing model fine-tuning, evaluation pipelines, AI observability, CI/CD for AI, and production operations such as performance monitoring, incident response, and change management, to ensure the reliability and performance of production AI systems
• Champion Power Platform and Copilot Studio for enterprise low-code AI automation
• Define and own the enterprise AI security and governance framework, covering data privacy, access controls, model risk management, prompt injection defences, and pre-production AI safety evaluations, and ensuring compliance with the EU AI Act, NIST AI RMF, ISO/IEC 42001, and Singapore's Model AI Governance Framework and AI Verify
• Partner with business stakeholders to identify and prioritise AI opportunities, translating them into commercially viable solutions with clear success metrics
• Mentor engineers, set technical standards, and cultivate a culture of innovation, responsible AI, and continuous learning
• Other duties as assigned

Pre-Requisites :

Desired Skills and Experience

• Bachelor's degree or higher in Computer Science, Information Technology, or a related field
• Minimum 5 years of hands-on AI/ML architecture and development experience, with at least 2 years leading enterprise AI initiatives involving LLMs or generative AI
• Solid experience across Azure AI services (Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure AI Search) and exposure to Anthropic Claude (Claude.ai, Claude Code, Claude Cowork, Claude Platform/API) and AWS Bedrock
• Experience designing agentic AI systems and RAG architectures, with working knowledge of orchestration frameworks and vector databases
• Working knowledge of LLMOps/MLOps practices, including model fine-tuning, evaluation frameworks, AI observability, and production lifecycle governance
• Good Python programming skills, familiarity with ML/AI libraries, and with TypeScript/JavaScript for AI-integrated applications
• Working knowledge of enterprise AI governance and Responsible AI principles, including AI safety evaluation practices and exposure to compliance frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001, Singapore Model AI Governance Framework)
• Exposure to deploying or managing self-hosted or open-weight LLMs in on-premises or private-cloud environments
• Familiarity with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse, Copilot Studio)
• Familiarity with AI-assisted development tools such as Claude Code, Kiro, Cursor, GitHub Copilot, or OpenCode
• Familiarity with containerisation and cloud-native AI infrastructure (Docker, Kubernetes, Azure Container Apps)
• Awareness of the AWS Bedrock AgentCore framework for production-grade agentic AI deployments
• Good communication and stakeholder engagement skills, able to translate complex AI concepts for non-technical audiences and comfortable presenting at workshops, brown-bag sessions, and company-wide events
• Self-driven and results-oriented, with experience delivering AI initiatives end-to-end in a globally distributed environment
• Relevant certifications (e.g., Azure AI Engineer Associate (AI-102), AWS Certified AI Practitioner or AWS Certified Machine Learning Engineer – Associate, or Anthropic's Claude Certified Architect) are a plus.

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?