Senior Data Engineer/ AI Engineer – Supply Chain (Databricks focus)

The Bosch Group is a leading global supplier of technology and services, in the areas of automotive and industrial technology, consumer goods as well as building technology.

Bosch established its first representative office in Ho Chi Minh City in 1994. Since 2007, Bosch has expanded its footprint in Vietnam where it has branch offices in Hanoi and Da Nang, as well as a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelts for continuously variable transmissions (CVT) in automobiles. In addition, Bosch operates Bosch Global Software Technologies Vietnam (BGSV) as well as an automotive R&D center for mobility solutions in Ho Chi Minh City. As of December 31 2023, Bosch employed approximately 6,300 associates in Vietnam. Bosch has diversified businesses in Vietnam. Today, all four Bosch business sectors, namely Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology have operations in the country. Bosch Vietnam is currently active with many business divisions: Mobility Aftermarket, Drive and Control Technology, Power Tools, Building Technology, Two-Wheeler and Powersports and Sales Original Equipment, AquaEasy, Home Appliances and Supply Chain Consulting.

Additional information is available online at: https://www.bosch.com.vn/ , https://www.linkedin.com/company/bosch-vietnam and https://www.facebook.com/OfficialBoschVietnam

Responsibilities

Own the architecture and DevOps of the AI platform on Databricks (Delta Lake, workflows, governance, environments); Design AI-ready data architecture optimized for LLM and agent use cases (low-latency retrieval, semantic layers, feature access); Lead implementation and scaling of Databricks Genie (or similar) for natural language → data interaction; Build and deploy LLM-powered applications and agents that leverage enterprise data and systems; Implement RAG pipelines end-to-end (data ingestion → embedding → retrieval → evaluation); Integrate enterprise systems (SAP, internal DBs, APIs) via connectors, MCP, and tool-calling interfaces; Establish CI/CD, testing, and observability standards for both data + AI workloads; Optimize performance, cost, and reliability of Databricks workloads and AI systems; Collaborate with AI engineers and analysts to ensure scalable and production-ready AI use cases

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or similar; 5+ years experience across AI engineering, data platform engineering, or backend systems; Deep expertise in Databricks:; Spark, Delta Lake, job orchestration; Workspace/environment setup & governance; Performance tuning and cost optimization; Strong experience with platform engineering / DevOps:; CI/CD pipelines, infrastructure-as-code, deployment workflows; Monitoring, logging, and production reliability; Strong Python + SQL; Hands-on experience with LLMs and AI systems (OpenAI, Anthropic, or OSS models); Experience building RAG systems, embeddings pipelines, and vector search; Understanding of MCP, APIs, connectors, and tool integration; Experience with Databricks Genie or similar semantic/query layers; Familiarity with ERP systems (SAP) and supply chain data is a plus