Applied AI Architect, BytePlus

职位描述

Join the Fast-Growing BytePlus Team

BytePlus is one of the newer Business Units formed to serve global enterprise customers with our leading technology solutions. As part of the BytePlus Team, you help enterprise customers build what's next for their business. Leveraging ByteDance's cutting-edge intelligent technologies, we are devoted to developing innovative products and solutions to shape the future. We empower our clients to focus on what truly matters. Centering on inspiring innovativeness and excellence, we create life-changing solutions that impact lives around the world. You can help us to achieve our mission.

Responsibilities

- Proactive Customer Relationship Management: Build and maintain strong, long-term relationships with key stakeholders at customer organizations. Serve as the primary point of contact for technical issues and escalations. In addition, identify and recommend solutions to address customers' evolving needs and challenges.

- Technical Guidance and Support: Provide expert guidance on solution architecture, best practices, and optimization strategies. Assist customers in designing, deploying, and troubleshooting complex cloud environments. Also conduct regular workshops and trainings, technical reviews and health checks to ensure optimal performance.

- Project Management & Ownership: Collaborate with customers to plan and execute migration, deployment, and expansion projects. Monitor project progress and provide regular updates to stakeholders. Take ownership of the projects for on-time delivery.

- Thought leadership: Stay up-to-date with the latest cloud and AI/ML technologies and industry trends. Contribute to the development of best practices, industry insight articles, and technical documentation.

任职要求

Minimum Qualifications

- Bachelor's degree or above in Engineering, Computer Science, or a relevant technical field.

- At least 5 years of related work experience, preferably in the role of solution architect or pre-sales solution engineering.

Preferred Qualifications

- Deep product understanding in several of the following cloud products: IaaS basics (VMs, VPC, LB, etc), Organization and Landing Zone, Cloud Native - K8s (cloud products & open-source projects), Prometheus, CI/CD, Database - SQL (mySQL, PostgreSQL), MongoDB, RDBMS, Big Data - data warehousing, datalake, ETL & ELT, Hadoop & Spark, AI/ML platforms - MLOps, CV, NLP, LLM, Multi-cloud migration.

- Industry experience working with DNBs, ISVs and SIs in verticals like E-commerce, Media, Entertainment, Gaming, Education, etc. is a plus.

- Can-do attitude, self-starter, ability to work independently and highly motivated.