Principal System Architect
Description
An AI Consulting company is looking for a Principal System Architect.
Responsibilities
You will lead the design and architecture of complex, end-to-end systems for cutting-edge AI research and development projects. Your role will involve not just backend and frontend systems but also integrating machine learning components, ensuring that all layers work seamlessly together. You'll be responsible for client engagement projects, collaborating closely with both internal teams and client engineering teams to deliver robust, scalable solutions.
We are looking for a seasoned professional with a wealth of experience in software engineering and system architecture. This role is perfect for someone who thrives in high-level strategic planning but also enjoys diving into technical details when necessary.
【Company Details】
An AI consulting company based in Japan working on developing solutions to sustainability and societal challenges. We collaborate with large Japanese enterprises to create innovative solutions to sustainability challenges, merging in our expertise in AI research and our client's domain knowledge. Our development projects focus on improving efficiency, accelerating innovation, risk mitigation, and better work and education.
【Working Hours】
8 hours a day with a 1-hour break per day (no core hours)
*Up to 3-4 days of WFH per week
【Holidays】
20 days per year of paid time off, 5 days sick leave, weekends, national holidays, and company holidays at the end of the year
【Services / Benefits】
Pension, healthcare, unemployment and disability insurance contributions, discount club membership, training opportunities, test pay back programs, no smoking indoors allowed (Designated smoking area), etc.
Required Skills
- Software engineering experience, specializing in system architecture.
- Expertise in backend (cloud infrastructure, databases) and frontend (web technologies) architecture.
- Proficient in integrating machine learning into systems and pipelines.
- Extensive experience with Cloud (GCP, AWS, Azure) and relevant certifications.
- Familiar with DevOps practices, capable of setting up CI/CD pipelines.