Game Studio Solutionist​

Key Responsibilities 

• Rapidly prototype web, mobile, and game-based interactive experiences turning concepts into playable demos, functional app prototypes, and testable digital products. 
• Build core gameplay and interaction systems including mechanics, progression loops, reward systems, and responsive UI/UX patterns for browser and mobile-based experiences. 
• Own hands-on development and toolchain setup across modern frameworks/engines (e.g., JavaScript/TypeScript, React, React Native, Flutter, Unity, Phaser, Three.js, Babylon.js, Node.js). 
• Develop cross-platform client experiences for iOS, Android, web, and emerging channels (including XR/metaverse), applying appropriate delivery models. 
• Use Generative AI + in-context engineering (“vibe coding”) and AI-assisted development approaches to accelerate prototyping, feature delivery, and iteration speed. 
• Integrate APIs, data services, SDKs, analytics, and backend services to enable connected experiences, dynamic content, and prototype functionality. 
• Run fast experimentation cycles playtesting, usability feedback, insight generation, and evidence driven refinement to validate hypotheses and improve experiences. 
• Execute structured validation and readiness work: testing across platforms, performance optimization, feasibility/architecture input, and contribution to reusable studio frameworks/components/templates; collaborate with cross-functional partners to bring concepts to life.

What You’ll Bring 

• Bachelor’s degree in Computer Science, Game Development, Interactive/Digital Media, or related field focused on interactive/immersive experiences. 
• 4–5 years’ experience building interactive digital solutions, simulations, and/or game-based experiences. 
• Hands-on proficiency with real-time engines or interactive development frameworks (web/mobile/game development). 
• A strong prototyping mindset with comfort operating in ambiguity and rapid iteration cycles. 
• Working knowledge of gameplay systems and engagement patterns (progression loops, reward mechanics, interaction design). 
• Practical understanding of Generative AI and in-context engineering, including integrating AI capabilities into digital products/gameplay/workflows; familiarity with tools such as Claude Code, AWS Bedrock, Gemini Studio, MS Copilot is a plus. 
• Ability to balance speed with quality, documentation, and compliance awareness; experience in regulated/highly governed environments preferred.
• Strong collaboration and problem-solving—experience working with multidisciplinary teams, including close partnership with global colleagues; interest in scientific/medical/healthcare problem spaces.

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Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.