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 highperforming Scrum team of AI engineers delivering AIpowered 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 daytoday software development.
Beyond delivery this role plays a key part in building an AIaugmented 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 Augmented 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.
- CrossTeam 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 crossfunctional partners
- Curiosity and continuous learning mindset around AI trends.
- Comfortable partnering with AI specialists and engineers and translating AI concepts into executionlevel priorities for the team.
- Start-up Mindset
Nice-to-Have Qualifications:
- Experience building or scaling AIfocused engineering teams.
- Handson experience leading or managing teams delivering agentbased 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.
Remote Work :
No
Employment Type :
Full-time
About the RoleJoin 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 pu...
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 highperforming Scrum team of AI engineers delivering AIpowered 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 daytoday software development.
Beyond delivery this role plays a key part in building an AIaugmented 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 Augmented 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.
- CrossTeam 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 crossfunctional partners
- Curiosity and continuous learning mindset around AI trends.
- Comfortable partnering with AI specialists and engineers and translating AI concepts into executionlevel priorities for the team.
- Start-up Mindset
Nice-to-Have Qualifications:
- Experience building or scaling AIfocused engineering teams.
- Handson experience leading or managing teams delivering agentbased 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.
Remote Work :
No
Employment Type :
Full-time
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