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Siemens

Automation, digitalization, and smart infrastructure provider

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBeijing, ChinaNo salary listed

About the Job

Requirements

  • A bachelor's degree or higher in computer science, software engineering, automation, artificial intelligence, or a related major.
  • At least 3 years of software development, system integration, or technical solution delivery experience; practical AI application development experience is preferred.
  • Familiarity with LLM application development and understanding of prompt engineering, retrieval-augmented generation, tool calling, Harness, and agent workflows, with the ability to independently develop AI Agent prototypes and applications.
  • Ability to integrate third-party APIs, databases, enterprise applications, or industrial software and resolve practical integration issues.
  • Familiarity with Git, Linux, and Docker, with basic log analysis, troubleshooting, and testing skills.
  • Ability to work in customer-facing and business-site environments and meet team collaboration and project-site support requirements.

Responsibilities

  • Identify business pain points across business departments, industrial companies, and ecosystem partners, and translate business requirements into deployable AI Agent solutions.
  • Design, develop, integrate, and deploy Agents, Skills, tool calls, knowledge bases, business ontologies, and business workflows using platform AI capabilities.
  • Deliver AI Agent projects in industrial product design, supply chain management, equipment maintenance, visual quality inspection, energy auditing, machine-tool code generation, and enterprise knowledge question answering.
  • Own the delivery lifecycle from requirements analysis, technical validation, and prototype development through production deployment, user acceptance, and ongoing optimization.
  • Develop adapted components, interfaces, and customized features for complex or non-standard business scenarios, moving solutions from proof of concept to scaled application.
  • Integrate existing enterprise IT/OT systems, industrial software, business APIs, databases, and third-party services by wrapping business capabilities as tools or Skills callable by AI Agents.
  • Work with customer and partner technical teams to address onsite deployment, system compatibility, network access, data quality, and business-process adaptation issues.
  • Support validation of security, performance, stability, and operability for enterprise deployments.
  • Communicate directly with customers, product managers, architects, and partners to understand business problems and turn requirements into clear technical implementation plans.
  • Locate and analyze technical issues, implement solutions, and track delivery risks during project delivery.
  • Demonstrate AI Agent business value to customers through prototypes, technical demonstrations, and working deliverables, supporting presales validation, customer pilots, and commercialization.
  • Turn recurring business requirements, technical issues, and common capabilities into standardized components, templates, tools, or platform product requirements.
  • Work with the platform R&D team to feed project experience into the XAgent platform and improve product functionality and the development experience.
  • Create reusable Agent templates, Skills, connectors, industry solutions, and deployment tools to improve delivery efficiency.
  • Create project delivery documentation, test cases, technical plans, and best practices to support replication across customers and industrial scenarios.
  • Track developments in AI Agents, LLMs, MCP, RAG, Skills, and ontologies and explore their use in industrial and enterprise business scenarios.

Desired Qualifications

  • Practical experience in industrial software, industrial automation, smart manufacturing, equipment maintenance, quality inspection, or energy management projects.
  • Practical experience with LangGraph, LangChain, Harness, or other Agent development frameworks.
  • Familiarity with MCP, function calling, Agent-to-Agent collaboration, vector databases, and knowledge-base development.
  • Frontend development ability and familiarity with React and TypeScript to independently build end-to-end prototypes.
  • Experience with Kubernetes, cloud deployment, enterprise identity and access management, permission governance, or private deployment.
  • Experience in customer-site delivery, technical consulting, solution engineering, or as a Forward Deployed Engineer.

About the Company

Siemens

Automation, digitalization, and smart infrastructure provider

Siemens is a global engineering and technology company focused on automation, digitalization, smart infrastructure, and mobility. Its products and solutions span industrial automation systems, electrical equipment, energy management, and digital services that help industries run more efficiently. The company’s core technology comes from its history of electrical generation and distribution, including the dynamo-electric principle, and it now sells hardware, software, and services that connect factories, buildings, grids, and transportation networks. Siemens differentiates itself through scale, a broad portfolio across the value chain, and a long track record of large-scale, multi-country projects in infrastructure and industry. Its goal is to enable smarter, more sustainable industrial processes and urban systems by integrating hardware, software, and digital services to improve productivity, energy efficiency, and mobility.

Company size
10,001+
Company stage
IPO
Headquarters
Munich, Germany
Founded
1847

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