Tencent Cloud – Solution Architect, Big Data & AI (Indonesia)
- Jakarta, Indonesia
- Lead/Staff
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- big data
- AI
- Telecommunications
- Data Infrastructure / AI Infrastructure
- solution architecture
- cloud provider
- data/AI platform vendor
- Spark
- Flink
- Elasticsearch
- Doris
- PyTorch / TensorFlow
- BigQuery
Preferred
- machine learning
- multimodal data pipelines
- Solution Design
- data platforms
- real-time computing
- data governance
- AI/ML workloads
Business Unit Cloud & Smart Industries Group (CSIG) is responsible for promoting the company's cloud and industry Internet strategy.
About Tencent
CSIG explores the interactions between users and industries to create innovative solutions for smart industries via technological advancements such as cloud, AI, and network security.
While driving the digitalization of retail, medical, education, transportation and other industries, CSIG helps companies serve users in smarter ways, building a new ecosystem of intelligent industries that connect users and businesses.
Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community.
We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Responsibilities
- Entails Insight & Solution Design: Deeply understand customers’ needs and pain points in data and AI scenarios, including data platforms, real-time computing, data governance and AI/ML workloads.
- Design end-to-end Data+AI solutions for industries such as Telecommunications, Financial Services (including Fintech), Retail, E-commerce and Gaming.
- Lead technical exchanges and Proof of Concept (PoC) projects for key clients.
- Communicate the core advantages of Tencent Cloud’s Data+AI products to drive cloud adoption, migration and architecture upgrades.
- Turn successful customer cases into repeatable Data+AI solutions that the team can reuse in the local market.
- Work with local system integrators (SIs), independent software vendors (ISVs) and consulting firms to co-create joint solutions and expand market reach.
- Act as the bridge between customers and the Big Data product team.
- Work with industry, product, R&D, delivery and post-sales teams to resolve client technical requests efficiently.
- Identify key customer requirements for Data+AI products, such as data compliance and multi-cloud strategy.
- Feed them into the product roadmap to drive localization and continuous improvement.
Requirements
- Bachelor’s degree or above in Computer Science, Telecommunications or a related field.
- 5+ years of experience in Data Infrastructure or AI Infrastructure, including customer-facing presales or solution architecture experience.
- Background at a cloud provider, a data/AI platform vendor, or an enterprise building its own data/AI platform is preferred.
- Solid understanding of big data technologies such as Spark, Flink, Elasticsearch, Doris, ClickHouse and Trino.
- Familiar with data lake and lakehouse architecture (Iceberg, Hudi) and serverless data concepts.
- Understands how these components behave in different data scenarios.
- Good understanding of AI/ML technologies such as Ray, PyTorch/TensorFlow and MLflow.
- Familiar with current Data+AI topics, including lakehouse + AI/ML integration, vector databases, RAG data foundations, data agents and ontology-based data modeling.
- Understanding of Indonesia’s data regulations, including the Personal Data Protection (PDP) Law, OJK financial services regulations, and data localization/residency requirements.
- Familiar with mainstream cloud Data+AI products such as AWS (EMR, Redshift, SageMaker), Google Cloud (BigQuery, Vertex AI), Snowflake and Databricks.
- Able to perform competitive analysis and develop differentiation strategies.
- S xrong logical thinking and communication skills.
- Proactive, open-minded and a good team player, able to work effectively in a cross-cultural, high-pressure environment.
- Fluent in Bahasa Indonesia and English, both written and spoken.
- Must be able to independently deliver technical presentations, write proposals and support client negotiations.
Preferred
- Experience in building machine learning platforms or multimodal data pipelines is a strong plus.
- Experience applying them in Fintech or financial services scenarios is highly preferred.
