Deskripsi Pekerjaan
Are you ready to shape the future of enterprise intelligence? As an AI Solution Architect at BytePlus (a division of ByteDance), you will be at the forefront of the generative AI revolution. We empower global enterprises and visionary developers by providing access to the cutting-edge technologies that power ByteDance’s ecosystem.
In this strategic role, you will act as a bridge between complex technical possibilities and real-world business challenges. You will lead the design of scalable AI architectures, translate client requirements into robust technical roadmaps, and drive the adoption of our machine learning and AI product suite. If you are a technical visionary who thrives in a fast-paced environment and wants to build products that scale globally, we want to meet you.
Tanggung Jawab
- Design and deploy end-to-end AI/ML solutions tailored to specific enterprise business use cases.
- Serve as a primary technical advisor to clients, guiding them through architectural decisions and implementation strategies.
- Collaborate cross-functionally with product and engineering teams to provide feedback on our AI product roadmap.
- Conduct technical deep-dives, workshops, and proof-of-concept (POC) demonstrations for stakeholders.
- Optimize AI infrastructure for latency, scalability, and cost-effectiveness in cloud environments.
- Lead complex integration projects, ensuring seamless compatibility between BytePlus solutions and existing client systems.
- Stay ahead of industry trends in LLMs, computer vision, and machine learning, applying insights to improve current service offerings.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
- 5+ years of experience in solution architecture, pre-sales engineering, or technical consulting with a focus on AI/ML.
- Deep understanding of cloud-native architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Proven expertise in building and deploying LLMs, recommendation engines, or computer vision models in production.
- Strong proficiency in Python and familiarity with modern ML frameworks like PyTorch or TensorFlow.
- Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience in architecting high-concurrency, low-latency distributed systems.
- Ability to thrive in a rapid-growth, global, and multicultural work environment.