Ubisoft Principal Software Engineer - AI Applications (W/M/NB) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Principal Software Engineer - AI Applications (W/M/NB) Full-time Contract: Permanent Work flexibility: Hybrid Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassins Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If youre passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Job Description Join the Ubisoft AI Initiatives team as a Principal Software Engineer and define the technical future of the information lifecycle at Ubisoft. From advanced hybrid search and RAG pipelines to complex, agentic reasoning, we are engineering the tools that turn raw information into high-velocity decision-making. Working alongside our Lead Architect, you will set the standard for software engineering excellence. If you want to push the boundaries of how humans and AI collaborate to solve complex problems, this is your arena. We are seeking a highly experienced Principal Software Engineer to join our team in charge of the development of scalable back-end systems that power these cutting-edge AI applications. Responsibilities As a Principal Software Engineer AI Applications, you will be a technical leader defining how we design and build the core services that enable our solutions. You'll lead at the intersection of AI, enterprise cloud-based applications, large-scale data processing, and software architecture, with significant organizational impact and influence. This is why this role requires mastery of modern architectures, deep expertise in AI/ML integration, proven technical leadership, as well as a passion for solving complex problems and elevating engineering excellence. Define Software Architecture Standards: Establish architectural patterns and engineering best practices for scalable, high-performance back-end services supporting AI applications. Lead Performance Excellence: Drive initiatives for low-latency, high-throughput serving of AI models, agents and APIs, optimizing speed and reliability. Drive Cross-Organizational Collaboration: Lead partnerships with data scientists and ML engineers to define integration patterns for AI models and agents in production. Shape Application Architecture: Define software patterns and integration strategies for cloud-native AI applications, focusing on scalability and developer productivity. Technical Leadership and Mentorship: Mentor senior engineers, conduct architectural reviews, and shape technical strategy and engineering culture. Pioneer Innovation: Evaluate emerging AI technologies, lead proof-of-concept initiatives, and represent technical excellence internally and externally. Joining our team as a Principal Software Engineer in AI Applications offers a unique chance to work on industry-leading projects that shape the future of AI technology. You will have the opportunity to: Define AI Software Engineering Standards: Establish patterns and practices that will influence how AI applications are built across the gaming industry. Pioneer AI Application Patterns: Lead the development of novel approaches to building intelligent applications, from agentic systems to multimodal experiences. Shape Product Innovation: Directly influence how AI capabilities are delivered to Ubisoft's studios and impact the creative process for millions of players globally. Qualifications Relevant experience, skills and knowledge We are seeking a distinguished technical leader with deep expertise and a proven track record of architecting world-class AI applications at scale. Must-Have Qualifications: Experience: professional software engineering experience, with experience as a principal or staff engineer role. Proven track record architecting production AI/ML applications in compute or data-intensive environments. Programming Mastery: Expert-level proficiency in Python, Java, Rust, or C++. Deep understanding of software design patterns and clean architecture. Cloud and Platform Experience: Extensive experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes) from an application development perspective. AI/ML Production Expertise: Proven experience architecting and scaling ML/AI systems in production, including model serving, inference optimization, and full application lifecycle. Software Architecture Excellence: Deep expertise in system architecture, microservices patterns, API design, and distributed systems with ability to make organization-wide architectural decisions. Technical Leadership: Proven ability to influence without authority, mentor senior engineers, drive technical consensus, and shape engineering culture. Nice-to-Have Qualifications: Deep expertise in Large Language Models, RAG systems at scale (retrieval strategies, vector databases, hybrid search), and emerging AI paradigms. Extensive experience designing agentic AI systems and multi-agent orchestration using frameworkslike LangGraph, Strands Agents, or CrewAI. Significant contributions to open-source AI/ML projects, publications, or technical conference speaking engagements. Experience with serverless architectures, event-driven systems, and real-time ML inference optimization. Additional Information Please submit your application documents in English. Ubisoft's perks Profit Sharing, yearly company saving plan. 25 paid time off + 12 additional paid days off. 50% of your transportation pass is paid by the company, lunch vouchers (9/day), healthcare for you and your family, and lots of Ubisoft additional perks. Maternity leaves of 20 weeks, paternity/co-parental leaves of 7 weeks. Our office is located in Saint Mandé, (Metro line 1, Saint Mandé station). Gym available in the building. According to Ubisoft's hybrid work model, our flexible work policy includes a minimum of 3 days a week in our Saint-Mandé office and the remaining 2 days working from home. Recruitment process \\[30 minutes\\]: phone or visio call with a Recruiter, \\[60 minutes\\]: interview with the manager of the role and a Recruiter, \\[60 minutes\\]: interview with members of the AI team \\[60 minutes\\]: during the interview process, you will go through technical assessments with technical experts from Ubisoft. Information about Ubisoft Ubisoft offers the same job opportunities to all, without any distinction of gender, ethnicity, religion, sexual orientation, social status, disability, or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers community. We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note that some roles are fully office-based and are not eligible for hybrid work. Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion. 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The role requires a distinguished technical leader with deep expertise and a proven track record in architecting large-scale AI applications. Essential qualifications include professional software engineering experience, particularly in a principal or staff engineer capacity, with a history of architecting production AI/ML applications in data-intensive environments. Proficiency in programming languages such as Python, Java, Rust, or C++ is expected, along with a strong understanding of software design patterns and clean architecture. Extensive experience with cloud platforms like AWS, GCP, or Azure, and containerization technologies such as Docker and Kubernetes from an application development standpoint, is also necessary. Furthermore, proven experience in architecting and scaling ML/AI systems in production, including model serving, inference optimization, and the full application lifecycle, is a must. Deep expertise in system architecture, microservices patterns, API design, and distributed systems, coupled with the ability to make organization-wide architectural decisions, is required. The position also demands proven technical leadership skills, including influencing without authority, mentoring senior engineers, driving technical consensus, and shaping engineering culture.