Software Engineering Manager - AI Applications at Ubisoft

Shanghai, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

18 May, 26

Salary

0.0

Posted On

17 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Scrum, Agile, AI, LLM, RAG, Agentic Reasoning, Software Engineering, People Leadership, Product Management, Delivery Execution, Coaching, Goal Setting, Scrum Ceremonies, Roadmap Planning, AI Assisted Coding, Quality Assurance

Industry

Computer Games

Description

Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six, to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Created in 1996, Ubisoft Shanghai studio, is a vibrant and exciting place where our talents get opportunities to either co-develop great AAA blockbuster games, create cutting-edge online games or produce fun mobile games. To learn more, please visit: www.ubisoftgroup.com Job Description About the Role Join the Ubisoft AI Initiatives team and architect the 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. If you want to push the boundaries of how humans and AI collaborate to solve complex problems, this is your arena. We are looking for an AI Software Engineering Manager to lead a high‑performing Scrum team of AI engineers delivering AI‑powered software products and platforms. This role is responsible for building, growing, and enabling a professional AI engineering team, while ensuring stable delivery, strong collaboration with Product Management, and effective use of AI in day‑to‑day software development. Beyond delivery, this role plays a key part in building an AI‑augmented engineering organization, where AI technologies are deeply embedded into development workflows, team practices, and engineering culture. Responsibilities People & Team Leadership Lead, coach, and develop a high performing‑ Scrum AI engineering team, fostering a culture of trust, ownership, and continuous improvement. Own people management responsibilities, including performance feedback, career development, goal setting, and talent growth. Support team members in their professional development, helping them grow as AI native‑ software engineers. Build a strong team identity and ensure sustainable team health, motivation, and engagement. Delivery & Scrum Execution Ensure smooth and effective execution of Scrum ceremonies and sprint activities, including planning, execution, review, and retrospectives. Help the team clearly understand product requirements, technical expectations, and delivery goals. Actively remove blockers, resolve issues, and support the team in delivering high-quality‑ software on time. Balance delivery requirements with team capacity, ensuring realistic commitments and sustainable pace. Product & Planning Collaboration Partner closely with Product Managers to: Translate product vision and requirements into executable delivery plans Contribute to product roadmap and release planning Align scope, priorities, and timelines with available engineering capacity Act as a bridge between product, engineering, and stakeholders to ensure clarity and alignment. AI A‑ugmented Engineering Practices Help build and scale an AI empowered‑ software engineering team, where AI is a natural part of daily work. Drive the adoption of AI tools and practices in software development, including: AI assisted‑ coding AI supported‑ testing and quality assurance AI generated‑ documentation and knowledge sharing Encourage experimentation and learning around AI native‑ development practices that improve efficiency, quality, and developer experience. Cross‑Team Collaboration Collaborate with other engineering and platform teams to align practices, share learnings, and scale AI engineering capabilities across the organization. Contribute to broader engineering standards, delivery practices, and team level‑ improvements. Qualifications We are seeking a seasoned professional with a strong technical background and a passion for building world-class AI applications. Must-Have Qualifications: 5+ years of professional software engineering experience. 3+ years of experience in engineering management or people leadership role. Experience leading Scrum or Agile development teams. Handson experience delivering AI / LLM powered software products (e.g., Chat, Agents, RAG, workflow automation). Strong understanding of Agile / Scrum practices, sprint execution, and delivery management. Proven ability to balance people management, delivery execution, and stakeholder collaboration. Strong communication skills and ability to work effectively with Product Managers and cross‑functional partners Curiosity and continuous learning mindset around AI trends. Comfortable partnering with AI specialists and engineers, and translating AI concepts into execution‑level priorities for the team. Start-up Mindset Nice-to-Have Qualifications: Experience building or scaling AI‑focused engineering teams. Hands‑on experience leading or managing teams delivering agent‑based or agentic AI systems Experience driving engineering practice or culture improvements, not just feature delivery. Additional Information Growth Opportunities Joining our team as a Senior 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: Engage in continuous learning and professional development to stay at the forefront of AI advancements. Take on increased responsibilities and influence the strategic direction of our AI product offerings and drive impactful innovation. Contract: Fixed Term Work flexibility: Office-based

Responsibilities

This role involves leading, coaching, and developing a high-performing Scrum team of AI engineers responsible for delivering AI-powered software products and platforms. The manager will also ensure smooth Scrum execution, collaborate closely with Product Managers, and drive the adoption of AI-augmented engineering practices.