artificial intelligence specialist

osapiens

<div><h3 class="jobSectionHeader">Description</h3><div> 
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation. 
 
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"> 
Your Responsibilities</h3><div> 
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will... 
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul> 
<h3 class="jobSectionHeader">
Your Experience</h3> 
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"> 
Join us for this and more...</h3> 
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
</li><li>A high-impact internship with responsibility from day one and direct collaboration with experienced leaders.</li>
<li>Hands-on project ownership and the chance to design processes that scale across our global customer base.</li>
<li>A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"> 
About osapiens</h3><div>
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. 
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

appliedAI

<div><h4 class="jobSectionHeader">About us</h4>
The appliedAI Initiative elevates Europe&rsquo;s industry to become shapers in the age of AI, creating a future that we desire to live in. Through our ecosystem of strong partners, comprehensive programs, services and solutions we advance companies holistically on their AI journey. With our uniquely diverse, interdisciplinary, and driven team, we build on deep technical expertise while specializing on applicability of the solutions. We share a mindset of collaboration and openness with our ecosystem of leading companies and tech players. Our common goal is to strengthen the European landscape, jointly creating unique knowledge for applying trustworthy AI. We believe that AI Agents will be the dominant topic for AI in the near future and that appliedAI with its partner ecosystem will impact how this technology is being used in industry and beyond in Europe. 
 
<h4 class="jobSectionHeader">Your mission</h4>
You&rsquo;ll support our AI engineering team hands-on across our AI projects - helping build and test AI agents and automated workflows, while also helping maintain our internal maturity assessment tool. 
Your tasks will include: 
<ul><li>
Supporting our engineers in developing and testing AI agent functionality for our AI projects in Python, using frameworks such as LangChain or Azure AI Foundry</li><li>
Supporting the design and automation of workflows using modern automation platforms</li><li>
Contributing to demos, workshops and internal documentation</li><li>
Supporting the technical maintenance of our internal maturity assessment tool (MAT)</li></ul><h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Currently enrolled in a Master&rsquo;s programme in Computer Science, Artificial Intelligence, Software Engineering, or a related technical field</li><li>
Hands-on experience with Python and a genuine interest in AI/ML frameworks - exposure to LangChain, Azure AI Foundry, or similar tools is a plus</li><li>
Comfortable working with APIs: reading documentation, running tests, and troubleshooting integrations</li><li>
Structured and reliable in your working style - you take ownership of clearly scoped tasks, document your work, and communicate proactively when you hit a blocker</li><li>
Proficiency in German and English (written and spoken), allowing you to collaborate in a bilingual team environment</li></ul><h4 class="jobSectionHeader">
What we offer</h4><ul><li>
A highly qualified and motivated team of ~90 people is on a journey to change the rapidly evolving European AI Landscape</li><li>
Experience the best of both worlds with our hybrid work model: You can choose to work from our vibrant offices &mdash; either at the IPAI in Heilbronn or the House of Communication in Munich &mdash; while also enjoying the flexibility to work remotely a few days each week</li><li>
Opportunity to shape a variety of projects and the development of new, original content based on the latest developments in AI and its adoption in businesses</li><li>
An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes</li><li>
A highly visible initiative that helps you build a large and high-level network of start-ups, partners, and tech companies</li><li>
Sports membership with Wellpass to access thousands of sports facilities all over Germany (and beyond), as well as online courses</li></ul><h4 class="jobSectionHeader">
Contact</h4>
Lucas Fernandes - Senior Talent Acquisition Specialist 
appliedAI Initiative GmbH, August-Everding-Str. 25, 81671 M&uuml;nchen<h4 class="jobSectionHeader">
About us</h4>
Find out more on https://www.appliedai.de/ and https://www.appliedai-institute.de/</div>

Working Student (m/f/x) AI Engineering & Product Development

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</li><li>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</li><li>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</li><li>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</li><li>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</li><li>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</li><li>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves (dealbreakers):<ul><li>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</li><li>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</li><li>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</li></ul>
Required skills &amp; experience:<ul><li>
Strong Python programming skills; comfortable shipping production-quality Python code.</li><li>
Experience turning observed real-world workflows into deployable AI automations.</li><li>
Ability to gather requirements directly from customers and translate them into working software.</li><li>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</li></ul>
Nice to have:<ul><li>
Experience designing AI interfaces for human-AI collaboration.</li><li>
Systematic experimentation and benchmarking of models and techniques.</li><li>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</li><li>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This role is on-site in Munich, Bavaria, Germany. Candidates must be willing and able to work from the Munich office. Visa sponsorship is not available &mdash; applicants must already have the right to work in Germany.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</div>

Member of Technical Staff, Product (AI Agents)

Clera

<div>
 
 About The Role
 
 
 
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 
 
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
 </li>
 <li>
 Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
 </li>
 <li>
 Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
 </li>
 <li>
 Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
 </li>
 <li>
 Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
 </li>
 <li>
 Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
 </li>
 <li>
 Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Must-haves (dealbreakers):
 
 
 
 <ul>
 <li>
 5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
 </li>
 <li>
 Demonstrated experience shipping LLM-based systems in production (not just prototypes).
 </li>
 <li>
 Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
 
 
 </li>
 </ul>
 
 Required skills &amp; experience:
 
 
 
 <ul>
 <li>
 Strong Python programming skills; comfortable shipping production-quality Python code.
 </li>
 <li>
 Experience turning observed real-world workflows into deployable AI automations.
 </li>
 <li>
 Ability to gather requirements directly from customers and translate them into working software.
 </li>
 <li>
 Product-minded approach &mdash; you think about the user experience, not just the model performance.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience designing AI interfaces for human-AI collaboration.
 </li>
 <li>
 Systematic experimentation and benchmarking of models and techniques.
 </li>
 <li>
 Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
 </li>
 <li>
 Background in or exposure to professional services, fintech, or compliance-heavy industries.
 
 
 </li>
 </ul>
 Location
 
 
 This role is
 
 on-site in Munich, Bavaria, Germany
 
 . Candidates must be willing and able to work from the Munich office.
 
 Visa sponsorship is not available
 
 &mdash; applicants must already have the right to work in Germany.
 
 
 
 Compensation &amp; Benefits
 
 
 
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 
 
</div>

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.
 
 
 We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
 </li>
 <li>
 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
 </li>
 <li>
 You set up experiment tracking and artifact registries for model variants.
 </li>
 <li>
 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
 </li>
 <li>
 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
 </li>
 <li>
 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 University degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
 </li>
 <li>
 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
 </li>
 <li>
 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
 </li>
 <li>
 Motivation to embrace customer problems and find innovative solutions using available technologies.
 </li>
 <li>
 You enjoy working on complex problems in an international in-house team of experts.
 </li>
 <li>
 Professional English proficiency; German is a plus.
 
 
 
 </li>
 </ul>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <ul>
 <li>
 Challenging projects with which we are shaping the mobility of tomorrow together.
 </li>
 <li>
 Wide range of personal and professional development opportunities.
 </li>
 <li>
 Attractive, fair and performance-related remuneration.
 </li>
 <li>
 High level of job security.
 </li>
 <li>
 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
 </li>
 <li>
 Flexible working hours including 6 weeks annual leave and overtime compensation.
 </li>
 <li>
 Discounted BMW &amp; MINI conditions.
 </li>
 <li>
 Many other benefits at bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 If you apply, the next stages of the recruiting process include online testing and then technical interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

Senior Applied AI / ML Data Engineer (f/m/x)

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Sales
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
<h2 class="jobSectionHeader">About the Role
</h2>Production leadership required. Builder mindset non-negotiable. 
 
Salesforce is hiring a Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands-on leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders - who design, build, and deploy AI Agents directly in customer environments) and Deployment Strategists (Strategic Builders - customer-facing advisors who shape AI strategy, define use cases, and drive adoption). Together, these teams work alongside customers to co-build and deliver agentic AI solutions on a single large enterprise account or across multiple engagements simultaneously. You'll set the engineering standards, unblock complex customer deployments, and scale the talent that's shipping production AI today.
<h2 class="jobSectionHeader">The Builder Leadership Experience
</h2><ul><li>Delivery Team Coordination: You own the capacity planning, talent acquisition, and staffing that ensures your cross-functional squads have the horsepower to deploy Agentforce at enterprise scale.
</li><li>AI-Augmented Leadership: Your team ships solutions using a best-in-class suite of AI tools (Cursor, Claude, and Salesforce coding products like Vibes). You will foster an inclusive, high-energy, and psychologically safe engineering culture where builders iterate fast and continuously level up.
</li><li>Direct Product Influence: You stand at the center of the product feedback loop. Partner directly with the Product and Engineering organizations on pilot programs and beta rollouts, turning raw field insights from high-stakes deployments into features on the Agentforce core roadmap.
</li></ul><h2 class="jobSectionHeader">What You'll Actually Be Building &amp; Execution
</h2><h3 class="jobSectionHeader">Leadership &amp; Team Excellence
</h3><ul><li>Scale Elite Talent: Recruit, mentor, and develop the next wave of Technical and Strategic Builders. Drive technical excellence, structure career growth, and foster an environment where shipping high-quality, production-ready systems is the norm.
</li><li>Maintain Operational Velocity: Monitor key delivery metrics, coach your teams on optimization, and run hard on complex customer escalations. You ensure your teams move from sketch to deployable in weeks, not months.
</li></ul><h3 class="jobSectionHeader">Technical Strategy &amp; Authority
</h3><ul><li>Ultimate Technical Authority: Serve as the final technical escalation point for your portfolio. Maintain deep architectural judgment across the Salesforce platform, advanced LLM techniques, data pipelines, and agentic orchestration.
</li><li>Guide Enterprise Implementations: Unblock complex data readiness, tool integration, and multi-agent orchestration challenges. Step in directly to help your teams assess customer technical readiness, remove deployment barriers, and codify standardized, repeatable delivery methodologies.
</li></ul><h3 class="jobSectionHeader">Customer &amp; Business Impact
</h3><ul><li>Drive Agentic Adoption: Build and anchor strong executive-level relationships within your customer portfolio, ensuring flawless Agentforce activation, rollout, and sustained production value.
</li><li>Accelerate Portfolio Performance: Operationally run your account portfolio with engineering rigor - monitoring health, delivery velocity, and core consumption metrics to accelerate progress toward customer business outcomes.
</li><li>Cross-Functional Alignment: Partner lock-step with Services, Account Success, and Product teams to help enterprises activate and consume Agentforce quickly, moving customers from pilot to production at hyper-speed.
</li></ul><h2 class="jobSectionHeader">You're Our Builder Lead If&hellip;
</h2><ul><li>You Have Proven Leadership: 4+ years of direct people management or high-impact technical leadership steering cross-functional engineering or technical teams. You have a track record of hiring, mentoring, and scaling technical talent.
</li><li>Your fluent in GERMAN &amp; ENGLISH
</li><li>You Bring Advanced Technical Depth: Deep architectural understanding of AI, LLMs, and the Salesforce ecosystem. You have hands-on experience with enterprise software implementation, data modeling, API integration, and AI deployments.
</li><li>You Own the Agentforce &amp; Data Cloud Blueprint: You possess direct, hands-on experience architecting or deploying Salesforce Data Cloud and the Agentforce platform. You don't just understand the tech stack - you know how to orchestrate it to unblock enterprise scale and drive immediate production value.
</li><li>You Lead with an Enterprise Customer Focus: Strong background navigating high-touch customer strategies at a Global level, paired with exceptional executive-level communication and influence skills. You can hold your own in a room with customer CTOs and enterprise architects.
</li><li>You Have a Ship-It Mindset: Exceptional problem-solving instincts, extreme resourcefulness, and a &quot;get-things-done&quot; demeanor. You thrive at the technical helm where code is being actively shipped, not just talking about it.
</li></ul><h2 class="jobSectionHeader">Nice-to-Haves
</h2><ul><li>Hands-on experience building multi-agent systems, prompt engineering pipelines, or deterministic AI guardrails.
</li><li>Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery) and enterprise data pipelines.
</li><li>Relevant Salesforce certifications (Advanced Admin, Service Cloud, Data Cloud, Sales Cloud, or Agentforce Specialist).
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
We warmly invite applications from individuals with a severe disability status (Schwerbehinderung). Salesforce is committed to equality and creating a workplace that reflects society. We set ambitious goals for representation, emphasize accessibility and inclusion, and continuously learn and improve. Learn more about our inclusion initiatives here (https://www.salesforce.com/company/accessibility/workplace-resources/#ally-sf-benefits). In 2019, Salesforce joined The Valuable 500 to champion disability inclusion in business leadership.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</div>

Senior Manager, Solutions Builder

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

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