director, it engineering - end user support

ai engineer / software engineer (all genders)

senior applied ai / ml data engineer (f/m/x)

director, it engineering - end user support Jobs in Munich

senior software engineer

ai engineer (m/w/d)

ai engineer / software engineer (all genders) Jobs in Munich

ai solutions engineer

ai support engineer

Valentum Engineering GmbH

<div></div><div><div><div>Valentum Engineering hat seine Wurzeln in der Automobilindustrie. Inzwischen haben wir uns aber auch in der Industrie erfolgreich etabliert. Hier unterst&uuml;tzen wir unsere Kunden bei der Entwicklung intelligenter Software- und Hardwarel&ouml;sungen in den Bereichen Automatisierungs-, Antriebs- und Regelungstechnik. Dabei sind wir in allen Entwicklungsphasen t&auml;tig &ndash; von der Spezifikation &uuml;ber die Software-/Hardware-Entwicklung und Absicherung bis hin zur Erprobung.<br>
<br>
<b>Hinweis zum Bewerbungsprozess</b>: Wir setzen in unserem Bewerbermanagementsystem auch KI-gest&uuml;tzte Funktionen zur Unterst&uuml;tzung des Auswahlprozesses ein. Details finden Sie in den Datenschutzhinweisen f&uuml;r Bewerber unter Datenschutz | Valentum Engineering GmbH.
</div><div>Wir suchen ab sofort f&uuml;r den Standort M&uuml;nchen einen
</div><div>AI Support Engineer*
</div><div><p>zur Verwaltung und Support von KI-Cloud-Diensten (z. B. Cursor, GitHub Copilot) und IDEs (VSCode, JetBrains, Visual Studio).
</p></div><div><div><h1 class="jobSectionHeader"><b>Ihr Aufgabengebiet</b></h1>
<p></p><ul><li>Administration und Support von KI-LLM-Inferenzdiensten auf lokalem Kubernetes (OpenShift, Linux, LiteLLM, VLLM, LLM-D, verschiedene Open-Source-LLMs).</li>
<li>Verantwortung f&uuml;r das Testen und die Implementierung neuer Softwareversionen.</li>
<li>Koordination und Durchf&uuml;hrung von Systemfehleranalysen und Fehlerbehebung.</li>
<li>Funktion als prim&auml;rer Ansprechpartner f&uuml;r Tool-Anbieter.</li>
<li>Unterst&uuml;tzung von Softwareentwicklern bei der Nutzung der Tools.</li>
</ul>
</div><p></p><div><h1 class="jobSectionHeader"><b>Ihr Profil</b></h1>
<p></p><ul><li>Abschluss in Informatik oder einem vergleichbaren Fachgebiet; mindestens ein Jahr einschl&auml;gige Berufserfahrung.</li>
<li>Kenntnisse der Grundlagen der Softwareentwicklung.</li>
<li>Erfahrung im Skripten mit Python.</li>
<li>Erfahrung in der Administration von Windows- oder Linux-Betriebssystemen.</li>
<li>Ausgepr&auml;gte Probleml&ouml;sungsf&auml;higkeit und logisches Denkverm&ouml;gen.</li>
<li>Verhandlungssichere Deutsch- und gute Englischkenntnisse</li></ul><br>
</div><p></p><div><h1 class="jobSectionHeader"><b>Unser Angebot</b></h1>
<p></p><ul><li><b>Bruttojahresgehalt all-in</b>:
<ul><li>Mid-Level 70 000 Euro</li>
<li>Experienced 75 000 Euro</li>
<li> Senior 85 000 Euro</li>
</ul></li><li><b>Home Office</b>: TBD</li>
<li><b>W&ouml;chentliche Arbeitszeit:</b> 35 Stunden</li>
</ul>
</div><p></p><div><h3 class="jobSectionHeader"><b>Haben wir Ihr Interesse geweckt?</b></h3>
Dann richten Sie Ihre Bewerbung an:<br>
Jenny Ferber (jennifer.ferber@valentum-engineering.de,<br>
0731 96538563)<br>
<br>
<b>VALENTUM Engineering GmbH</b><br>
Einsteinstr. 55 . 89077 Ulm<br>
<b>www.valentum.de
</b></div><div></div><ul><li>Bei uns sind Sie willkommen, unabh&auml;ngig von pers&ouml;nlichen Merkmalen wie z.B. kultureller und sozialer Herkunft, Geschlecht oder Alter.</li></ul></div></div></div><div></div>

AI Support Engineer*

techtree

<p>About the Role</p><p>A leading frontier AI company is looking for an <b>Applied AI Engineer</b> to join their Solutions team in Munich.</p><p>This is a customer-facing technical role, but the balance is heavily technical: roughly 20% involves presales support, onboarding, and client guidance - the other 80% is designing, developing, and deploying AI solutions for B2B enterprise clients.</p><p>Your stakeholders are technical. You won't be simplifying things for non-technical audiences - you'll be working directly with data scientists, software engineers, and CTOs on complex, high-impact implementations.</p><p>This is not a consultancy role. You'll operate with the mindset of a startup CTO embedded in a world-class AI team: owning projects end-to-end, shipping working solutions, and collaborating closely with researchers and product engineers on the company's most challenging customer problems.</p><p>What You'll Do</p><ul><li>Deploy AI solutions into production across various industries, delivering measurable business impact</li><li>Build state-of-the-art GenAI applications - from consumer products to industrial use cases</li><li>Develop complex implementations involving fine-tuning, advanced RAG pipelines, agentic workflows, and custom LLM applications</li><li>Participate in presales calls to understand client needs and provide technical guidance</li><li>Collaborate with researchers and product engineers on the team's most demanding customer projects</li><li>Feed customer insights back into product and model development</li></ul><p>How the Team Works</p><ul><li>What matters is what you ship, not the time you spend on it</li><li>No bureaucracy - you talk to whoever you need to, the best idea wins</li><li>Low ego, high standards; direct, honest feedback</li><li>Unstructured environment where people find joy in ambiguity</li></ul><p>About You</p><ul><li>Fluent in English and <b>German</b> (required for this Munich-based role)</li><li>2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products</li><li>Proven experience implementing AI/ML products with APIs, back-end and front-end interfaces</li><li>Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases</li><li>Deep understanding of machine learning concepts and the algorithms underlying LLMs</li><li>Strong Python coding skills</li><li>Able to explain complex technical concepts clearly to technical audiences</li></ul><p>Nice to Have</p><ul><li>Open-source contributions, especially in the LLM space</li><li>Prior experience as a Customer Engineer, Forward Deployed Engineer, Solutions Architect, or Technical PM</li><li>Experience with PyTorch and deep learning</li></ul><p>Compensation</p><ul><li>Base salary + equity</li></ul><p>Job Type: Full-time</p><p>Pay: 61.504,42&euro; per year</p><p>Application Question(s):</p><ul><li>Cover letter</li><li>Expected Salary</li></ul><p>Work Location: In person</p>

Applied AI Engineer

Capmont

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 AI Software Engineer (f/m/d)
 <br/>
 <br/>
 Manex AI
 <br/>
 <br/>
 Software Engineering, Data Science
 <br/>
 <br/>
 Munich, Germany
 <br/>
 <br/>
 Posted on Jun 30, 2026
 <br/>
 <br/>
 Apply now
 <br/>
 <br/>
 <strong>
  AI Software Engineer (f/m/d)
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.
 <br/>
 <br/>
 <strong>
  Your Role
  <br/>
  <br/>
 </strong>
 As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform "Kosmos" meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.
 <br/>
 <br/>
 Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct software and AI application development within customer projects
  </li>
  <li>
   Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development
  </li>
  <li>
   Support technical integration of our platform into customer IT landscapes
  </li>
  <li>
   Learn how production processes, IT infrastructure and AI products intersect
  </li>
  <li>
   Translate customer requirements into technical solutions and specifications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Profile
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in Computer Science, Information Systems, or similar
  </li>
  <li>
   0 to 4 years professional experience or internships in software engineering or similar
  </li>
  <li>
   Hands-on experience through projects, ventures, or product development
  </li>
  <li>
   Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond
  </li>
  <li>
   Business-fluent in German and English
  </li>
  <li>
   Based in Munich or willing to relocate, ready to go all-in with us
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We Offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers
  </li>
  <li>
   Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions
  </li>
  <li>
   Top-of-market compensation with equity package
  </li>
  <li>
   Develop a best-in-class network (funding, industry, and talent) in Europe and the US
  </li>
  <li>
   A fast-paced environment backed by the world's best investors with the world's leading organizations as customers
   <br/>
   <br/>
  </li>
 </ul>
 Are you willing to start contributing to European autonomy at scale? Apply now!
 <br/>
 <br/>
 Apply now
 <br/>
 <br/>
 See more open positions at Manex AI
</div>


AI Software Engineer (f/m/d)

NVIDIA

<div><p>We are looking for a Senior Software Engineer, Applied AI Systems, to build production AI / ML and agentic solutions. We need a hands-on senior engineer who can turn ambiguous technical problems into durable software systems and AI-enabled systems: agents, workflow services, APIs, data pipelines, tool integrations, evaluation and benchmarking harnesses, reference architectures, and operational tooling.</p><p></p><p>
We work at the intersection of applied AI, agentic workflows, software engineering, distributed systems, performance engineering, accelerated computing, and data infrastructure. In this role, you will build AI systems as real software systems: write and review high-quality code, make architecture tradeoffs, benchmark behavior and performance, and outcomes from prototype through validation, hardening, deployment, and ongoing support. This is an opportunity to shape how production applied AI systems are built, measured, and reused inside NVIDIA!</p><p></p><p>
We partner across global teams and time zones for design reviews, planning, debugging, support critical issues, and technical decision-making. We need an engineer who turns complex requirements into clear technical plans, keeps the focus on reusable software capability rather than one-off delivery, and drives execution across teams.</p><p></p><p><b>
What you will be doing:
</b></p><ul><li><p>Build and own production-grade applied AI systems for NVIDIA&rsquo;s technical and solution development use cases, including agentic solutions where they materially improve the systems and softwares.</p></li><li><p>
Design and build agentic workflows and the software around them: workflow services, APIs, retrieval, MCP/A2A-style tool integrations, agent harnesses, automation, telemetry, operational controls, and human oversight.</p></li><li><p>
Design reliable services, APIs, workflow state, event-driven execution, and observability using systems such as Kafka, ClickHouse, and OTel-style patterns.</p></li><li><p>
Translate complex technical and operational requirements into clear system designs, plans, interfaces, measurable outcomes, and pragmatic technical decisions through design reviews, code reviews, and clear communication.</p></li><li><p>
Develop production software in Python and other relevant languages, with strong testing, observability, CI/CD, documentation, and operational practices.</p></li><li><p>
Build performance and benchmarking workflows for existing production solutions or products, including validation harnesses, regression tests, tracing, metrics, failure analysis, latency, throughput, reliability, resource usage, and AI/inference behavior where relevant.</p></li><li><p>
Improve standard solution patterns alongside larger applied AI systems, working with NVIDIA engineering and solution teams to codify repeated patterns, product gaps, and field lessons into APIs, services, reference architectures, playbooks, test harnesses, and shared engineering building blocks.</p></li><li><p>
Debug and support production solutions across software, infrastructure, AI models, data pipelines, inference services, and GPU-accelerated environments, turning recurring support patterns into product or platform improvements.</p></li></ul><p></p><p><b>
What we need to see:</b></p><ul><li><p>
BS, MS, or PhD in Computer Science, Engineering, AI/ML, or equivalent experience, with 5+ years of professional software engineering experience owning production systems or meaningful platform components.</p></li><li><p>
Hands-on experience with LLM, generative AI, RAG, agentic AI, MCP or intelligent AI technologies beyond simple prompting or notebooks, including tool use, retrieval, evaluation, guardrails, orchestration, or human-in-the-loop control.</p></li><li><p>
Strong Python engineering skills and practical experience with at least one additional production programming language such as C++, Go, Rust, or TypeScript.</p></li><li><p>
Demonstrated ability to develop and build distributed systems, backend services, data pipelines, workflow orchestration, APIs, or developer platforms using production environments like Kafka, ClickHouse, PostgreSQL, Redis, object storage, Kubernetes, or similar technologies.</p></li><li><p>
Strong system design and operational judgment, including reliability, latency, cost, security, privacy, scalability, debuggability, maintainability, performance analysis, benchmarking, profiling, or capacity evaluation.</p></li><li><p>
Excellent debugging and problem-solving skills across software, infrastructure, AI systems, and performance bottlenecks.</p></li><li><p>
Proven ownership of ambiguous, cross-team engineering work, with ability to collaborate with distributed teams spanning US Pacific, EMEA, and APAC timezones.</p></li><li><p>
Required : Strong written and verbal communication skills in English.</p></li></ul><p></p><p><b>
Ways to stand out from the crowd:
</b></p><ul><li><p>Experience building real-world AI implementations, agent tools, MCP-compatible modules, A2A-style bridges, agent frameworks, evaluation frameworks, or RAG systems used by real users.</p></li><li><p>
Familiarity with NVIDIA GPU, AI Software Technologies such as NVIDIA NIM, NeMo Agent Toolkit, CUDA and Agentic AI development frameworks</p></li><li><p>
Open-source contributions, technical papers, patents, conference talks, engineering blogs, or major internal engineering artifacts</p></li></ul><p></p><p>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><p></p><p>
Widely considered to be one of the technology world&rsquo;s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/</p></div><p></p>

Senior Software Engineer, Applied AI

Manex AI

<div><h1 class="jobSectionHeader"><b>AI Software Engineer (f/m/d)</b></h1><div>
</div><h2 class="jobSectionHeader"><b>
About Us</b></h2><p>
Manex AI is on a mission to enable autonomy for the world&rsquo;s leading organizations and is currently building autonomous factories. After raising our Seed Round from Lightspeed and BlueYard and winning leading enterprise manufacturing customers, we are now focused on scaling operations across all departments. With our world-class team, we are looking for the key individuals who will help take us to the next level and build a truly outstanding organization.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Role</b></h2><p>
As an AI Software Engineer, you build the applications that make autonomy real on the factory floor. You work embedded inside the production environments of our customers - industry leaders including BMW, Audi, BSH, Stellantis, Still, TDK Electronics, and Co. - where our platform &quot;Kosmos&quot; meets the messy reality of manufacturing. You take the hardest technical problems our customers have and turn them into working software, powered by data and AI, inside their most critical, high-stakes processes.</p><p>
Most of your time goes into building: developing AI-driven applications, designing the integration architectures around them, and shipping solutions that create measurable impact - while becoming a trusted technical contact for our customers along the way.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><ul><li><p>
Direct software and AI application development within customer projects</p></li><li><p>
Troubleshoot, document, co-create solutions alongside senior software engineers, and drive product development</p></li><li><p>
Support technical integration of our platform into customer IT landscapes</p></li><li><p>
Learn how production processes, IT infrastructure and AI products intersect</p></li><li><p>
Translate customer requirements into technical solutions and specifications</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><ul><li><p>
Degree in Computer Science, Information Systems, or similar</p></li><li><p>
0 to 4 years professional experience or internships in software engineering or similar</p></li><li><p>
Hands-on experience through projects, ventures, or product development</p></li><li><p>
Curiosity for manufacturing, how factories actually run, newest tech, product development, and beyond</p></li><li><p>
Business-fluent in German and English</p></li><li><p>
Based in Munich or willing to relocate, ready to go all-in with us</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li><p>
Unique opportunity to become part of a top-tier team with hands-on responsibility and learn how to build lasting collaborations with leading customers</p></li><li><p>
Mentorship &amp; fast learning curve in a high-impact AI-Startup environment, incl. flat hierarchy, direct access to founders, and fast decisions</p></li><li><p>
Top-of-market compensation with equity package</p></li><li><p>
Develop a best-in-class network (funding, industry, and talent) in Europe and the US</p></li><li><p>
A fast-paced environment backed by the world's best investors with the world's leading organizations as customers</p></li></ul><div></div><p><br>
Are you willing to start contributing to European autonomy at scale? Apply now!</p></div>

Ignite Travel

<div><p>Are you ready to shape the future of industrial supply chains? We are developing the definitive digital ecosystem for the construction industry. Our sophisticated B2B SaaS platform empowers suppliers, freight forwarders, and building companies to fully automate and digitize their entire order, delivery note, and invoicing cycles.</p><p>
By removing manual paperwork from the equation, we help businesses drastically cut operating costs, unlock complete supply chain transparency, and seamlessly track environmental impact. We are looking for a proactive, client-facing <b>(Senior) Solutions Engineer for Integrations</b> to join our team from the comfort of your home office.</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
As a (Senior) Solutions Engineer for Integrations, you will act as the crucial technical link between our rapidly expanding cloud platform and our clients' complex enterprise IT environments. In this position, you will maintain end-to-end responsibility for client integration lifecycles, serving as an expert technical consultant for our customers and a core strategic ally to our internal Product and Engineering groups.</p><ul><li><b>
Our AI-First Workflow:</b> We firmly believe in the power of artificial intelligence. You will operate within an advanced AI-driven environment, regularly deploying next-generation AI tools to supercharge your technical output, automate workflows, and scale your professional impact.</li></ul><h2 class="jobSectionHeader"><b>
Tasks &amp; Responsibilities</b></h2><ul><li><b>
End-to-End Ownership:</b> Spearhead customer integration lifecycles from early technical scoping and solution architecture through to development, testing, launch, and long-term user adoption.</li><li><b>
Technical Analysis:</b> Deconstruct and evaluate client software environments, data pipelines, operational processes, and integration targets to craft optimized technical blueprints.</li><li><b>
Solution Architecture:</b> Design resilient integration frameworks utilizing REST APIs, webhooks, EDI protocols, file-based data transfers, third-party software, and bespoke customer workflows.</li><li><b>
Prototyping &amp; Building:</b> Personally build, configure, and prototype integration elements using Python, collaborating directly with core Engineering to safely ship them to production.</li><li><b>
AI-Driven Development:</b> Integrate modern AI-assisted engineering environments (e.g., Cursor, Claude, GitHub Copilot) into your daily routine to speed up architectural analysis, generate clean code, and draft documentation faster.</li><li><b>
Success Monitoring:</b> Evaluate system performance and connection stability post-deployment, gather continuous client feedback, and champion ongoing product and workflow enhancements.</li></ul><h2 class="jobSectionHeader"><b>
Your Profile</b></h2><p>
We want an analytical, collaborative, and digitally savvy technical professional who works excellently independently and enjoys solving complex architecture puzzles in a fast-paced environment.</p><h3 class="jobSectionHeader"><b>
Minimum Requirements</b></h3><ul><li><b>
Core Experience:</b> 3+ years of proven success in a customer-facing technical position (e.g., Solutions Engineer, Integration Engineer, Forward Deployed Engineer, or Sales Engineer), ideally within a fast-moving startup or scale-up.</li><li><b>
Language Requirements:</b> Complete professional fluency in both German (C1+) and English (C1+) is mandatory for internal collaboration and client consulting.</li><li><b>
Integration Protocols:</b> Hands-on mastery of APIs, webhooks, modern system communication architectural patterns, and system-to-system data exchange.</li><li><b>
Data &amp; Enterprise Systems:</b> Comprehensive knowledge of structural EDI and XML-based data standards (such as EDIFACT, ZUGFeRD, ebInterface). Foundational experience with major enterprise ecosystems like SAP, DATEV, Microsoft Dynamics, or Sage.</li><li><b>
Coding Skills:</b> Confident ability to read, interpret, and write Python code for prototyping, testing, and deployment configurations.</li><li><b>
AI Savvy:</b> A deep natural affinity for AI agents and developer toolsets, backed by a track record of using them to maximize personal output.</li></ul><h3 class="jobSectionHeader"><b>
Nice-to-Haves</b></h3><ul><li>
Prior exposure to the construction, logistics, or transport sectors.</li></ul><h2 class="jobSectionHeader"><b>
Compensation &amp; Financial Framework</b></h2><ul><li><b>
Base Salary:</b> Up to &euro;80,000 gross p.a. (depending on experience and qualifications).</li><li><b>
Employment Type:</b> Full-Time, Permanent.</li><li><b>
Growth Potential:</b> Seize the career-defining opportunity to shape a mature, fast-scaling B2B SaaS platform that is actively revitalizing a legacy trillion-dollar global sector.</li></ul><h2 class="jobSectionHeader"><b>
What We Offer &amp; Corporate Culture</b></h2><ul><li><b>
Impact &amp; Autonomy:</b> Enjoy immense creative freedom and full, end-to-end ownership of client integration strategies that directly drive our market reach.</li><li><b>
Home Office Setup:</b> Complete flexibility to work 100% remotely from home, supported by regular virtual team events and offsites.</li><li><b>
Flat Hierarchies:</b> Work in direct partnership with our founders and executive leadership team, benefiting from swift decision-making paths and zero red tape.</li><li><b>
Modern AI Stack:</b> Benefit from an authentic AI-First philosophy. Premium tools like GitHub Copilot, Claude, and Cursor are integrated directly into your workstation setup.</li><li><b>
Perks &amp; Benefits:</b> Access to an EGYM Wellpass digital membership, a comprehensive corporate benefits program, and an official company travel card.</li></ul><h2 class="jobSectionHeader"><b>
Ready to Join the Team?</b></h2><p>
If you are eager to combine your engineering expertise with the ultimate flexibility of working from home, we want to see your application.</p><p>
Select Apply Today and submit your resume, a link to your LinkedIn/GitHub profile, and your earliest potential starting date!</p></div>

German Speaking Senior Solutions Engineer

zooplus

<div><b>Company Description</b><p><br>
With over 25 years&rsquo; experience, plus the same enormous passion and ambition we had on day-one, we&rsquo;re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier &ndash; and that&rsquo;s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That&rsquo;s the power of plus.</p><b><br>
Job Description</b><p><br>
We are looking for an experienced <b>Lead AI Systems Engineer</b> to lead the design, implementation, and governance of enterprise AI platforms across our organisation.</p><p>
In this role, you will own the end-to-end engineering lifecycle of enterprise AI technologies&mdash;including Microsoft Copilot, Google Gemini, Microsoft Power Platform, and Workato&mdash;ensuring they are secure, scalable, and aligned with enterprise architecture, security standards, and regulatory requirements.</p><p>
Working at the intersection of Engineering, Security, Architecture, Data, and Business teams, you will help shape our enterprise AI strategy while enabling responsible AI adoption through modern automation and AI technologies. This is an opportunity to influence how AI is deployed across the organisation and deliver solutions that improve productivity, collaboration, and business outcomes.</p><p><b>
What You'll Do</b></p><p>
As our Lead AI Systems Engineer, you'll lead the engineering, deployment, and continuous improvement of enterprise AI platforms. You'll design secure and scalable AI solutions, build integrations between enterprise systems, and establish governance standards that support responsible AI adoption.</p><p>
Working closely with Security, Architecture, Legal, Privacy, Data, and Business teams, you'll ensure AI platforms comply with organisational policies and regulatory requirements while delivering measurable business value. You'll also mentor engineers, establish technical standards, evaluate emerging AI technologies, and contribute to the organisation's long-term AI roadmap.</p><p><b>
What Will Make You Successful</b></p><p>
You'll thrive in this role if you enjoy solving complex technical challenges and translating business needs into scalable AI solutions. You'll be comfortable working across multiple disciplines, influencing stakeholders, and balancing innovation with governance and security.</p><p><b>
We're looking for someone who is:</b></p><ul><li>
Strategic and forward-thinking, with the ability to shape enterprise AI adoption.</li><li>
A collaborative leader who enjoys mentoring others and establishing engineering best practices.</li><li>
An excellent communicator, capable of explaining complex technical concepts to a wide range of audiences.</li><li>
Passionate about continuous learning and keeping pace with the rapidly evolving AI landscape.</li><li>
Comfortable working in cross-functional, matrixed environments with Engineering, Security, Legal, Privacy, Data, and Business teams.</li><li>
Accountable, proactive, and committed to delivering secure, high-quality enterprise solutions.</li></ul><p><b>
Our Technology Stack</b>: Our AI ecosystem includes technologies such as:</p><ul><li>
Microsoft Copilot &amp; Copilot Studio</li><li>
Google Gemini &amp; Vertex AI</li><li>
Microsoft Power Platform (Power Automate, Power Apps, Power BI)</li><li>
Workato</li><li>
Azure (preferred), AWS, and Google Cloud Platform</li><li>
REST APIs &amp; Enterprise Integration</li><li>
Python, PowerShell, JavaScript / TypeScript, and C#</li><li>
Docker, Kubernetes &amp; CI/CD</li><li>
AI Security, Identity &amp; Access Management, and Data Governance</li></ul><br>
<b>
Qualifications</b><p><b><br>
Required Experience:</b></p><ul><li>
7+ years' experience in Platform Engineering, Cloud Engineering, Systems Engineering, Software Engineering, or a related technical discipline.</li><li>
At least 3 years' experience implementing or supporting enterprise AI, automation, or productivity platforms.</li><li>
Hands-on experience with <b>at least two</b> of the following:<ul><li>
Microsoft Copilot (M365 or Copilot Studio)</li><li>
Google Gemini</li><li>
Microsoft Power Platform</li><li>
Workato</li></ul></li><li>
Experience designing secure enterprise solutions using Identity and Access Management (IAM) principles.</li><li>
Strong experience integrating enterprise applications using APIs, web services, and automation technologies.</li><li>
Knowledge of Azure, AWS, or Google Cloud Platform.</li><li>
Experience implementing enterprise security controls such as OAuth, RBAC, Conditional Access, and Data Loss Prevention (DLP).</li><li>
Excellent communication and stakeholder management skills, with the ability to engage both technical and non-technical audiences.</li><li>
Fluent English.</li></ul><p><b>
Desirable Experience</b></p><p>
Experience in one or more of the following would be advantageous:</p><ul><li>
Azure AI Foundry or Google Vertex AI</li><li>
Microsoft Power Apps, Power BI, Dataverse, or AI Builder</li><li>
Infrastructure as Code (Terraform or Bicep)</li><li>
Docker, Kubernetes, CI/CD pipelines, or DevOps practices</li><li>
Python, PowerShell, C#, JavaScript, or TypeScript</li><li>
Prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, or agentic AI frameworks (e.g. LangChain, AutoGen, CrewAI)</li><li>
Enterprise integration platforms or iPaaS technologies</li><li>
AI platform governance, observability, and operational monitoring</li><li>
Experience working within regulated industries or government environments</li><li>
Knowledge of compliance frameworks such as GDPR, the EU AI Act, DORA, ISO 27001, FedRAMP, or CMMC</li><li>
Experience leading technical teams or mentoring engineers</li><li>
A degree in Computer Science, Information Systems, Artificial Intelligence, or a related discipline (or equivalent practical experience)</li><li>
German language skills</li></ul><p><b>
Why Join Us?</b></p><p>
This is an opportunity to help define the future of enterprise AI within a global organisation. You'll work with cutting-edge technologies, influence strategic technical decisions, and play a key role in enabling secure, responsible AI adoption at scale.</p><p>
You'll collaborate with experienced engineering and business teams, solve meaningful technical challenges, and help shape the next generation of AI-powered ways of working.</p><b><br>
Additional Information</b><p><br>
Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you&rsquo;ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you&rsquo;ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There&rsquo;s an option to work for 20 days abroad in approved countries too.</p><p>
Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you&rsquo;ll begin to get a sense of what sets us apart. <b>Find out more about the specific benefits at your local office in our </b><b>blog posts</b><b>.</b></p><p><b>
A note on compensation:</b> We believe in being transparent about salary ranges. The range shown reflects the full scope that the role can grow into over time, depending on experience, skills, and impact. Most offers are positioned around the midpoint of the range, ensuring a fair and consistent approach across our teams.</p><p>
At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.</p><p>
#LI-Hybrid</p></div>

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