Engineering Manager / Tech Lead – Industry AI, Autonomous Asset Management (f/m/d)

Description

The company is building a new engineering team in Munich focused on Industry AI for Autonomous Asset Management.

The team will build and own reusable Industry AI templates and engineering assets, so intelligent solutions can be developed, deployed and scaled across industrial customers.

Responsibilities

• Work as a technical lead: take part in architecture, design, coding, prototyping and code reviews.
• Drive the full lifecycle of reusable Industry AI templates for Autonomous Asset Management, keeping them high in quality, scalable, extensible and easy to maintain.
• Design and build modular AI components such as AI agents, reusable workflows and connectors that speed up industry-specific AI delivery.
• Turn successful AI use cases and customer-specific work into standard, configurable capabilities that other customers can adopt.
• Explore and apply agentic AI, generative AI, knowledge representation and intelligent automation to hard industrial problems.
• Set up sound engineering practices for development, testing, integration, deployment and long-term software upkeep.
• Recruit, mentor and develop engineers, building a team culture around technical excellence, innovation, ownership and continuous learning.
• Work with product management, industry experts, FDE delivery teams and other engineering teams to turn business needs and new technology into scalable enterprise solutions.
• Balance day-to-day hands-on work with people leadership, the role is split between both.

Requirements

• Solid hands-on software engineering background, with a record of delivering complex, production-grade software.
• Experience as a technical lead, software architect or engineering manager, and the ability to coach engineers.
• Strong programming skills and a real interest in staying close to code, prototypes and architecture reviews while letting teams own implementation.
• Ability to spot patterns across customer use cases and turn them into reusable technical capabilities.
• Practical experience building AI-powered applications, ideally with generative AI and agentic AI frameworks.
• Good understanding of modern software architecture, cloud-native development, APIs, distributed systems and engineering best practices.
• Experience designing reusable components, frameworks or platforms with a focus on modularity, extensibility and maintainability.
• Ability to move fast on new ideas while keeping engineering rigor and long-term quality.
• A builder mindset, sound technical judgment and interest in bringing new technology into real enterprise applications.
• Strong collaboration and communication skills, with fluent English.
• Advantageous, not required: AI agent orchestration, knowledge graphs, ontologies, retrieval-augmented generation or decision intelligence.
• Advantageous, not required: industrial asset management, optimization, industrial IoT or asset-intensive industries.
• Advantageous, not required: enterprise software development, SAP technologies or enterprise integration.
• Advantageous, not required: experience building reusable technology assets and scaling them across multiple customers.

Conditions

Based in Munich.

The posting also lists these skills used in the role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication, Agentic Engineering, Agentic Orchestration, AI-Assisted Engineering, Cloud Architecture and Semantic Retrieval.

Equal opportunity: the company supports fair treatment at work and provides accessible application support for people with disabilities on request.

Benefits

• Flexible working models and a focus on health and wellbeing.
• Work on the newest AI techniques for real industrial problems within a large global enterprise.