AI Builder & Automation Specialist (m/w/d)

AI Solution Builder / Automation Specialist (m/w/d) – Fokus Agentic Workflows

holz4home

DEINE AUFGABEN Dein Fokus liegt darauf, unser bestehendes KI-Know-how zu nutzen, um zwei zentrale Pfeiler für unsere Firmengruppe aufzubauen: * Interne Prozess-Zentrale: Du entwickelst eine KI-gestützte Plattform zur Optimierung unserer internen Abläufe. Von der intelligenten Datenaufbereitung bis hin zum automatisierten CRM-System – du baust die Agenten-Systeme, die im Hintergrund die Fäden ziehen. * Die „Paletten-Plattform“: Du entwickelst ein externes Tool, mit dem unsere Waren (Paletten) effizient kalkuliert und verkauft werden können. Du übersetzt Preislogiken und Marktparameter in eine smarte, nutzerfreundliche Lösung. * Agentic Workflows: Du setzt KI-Agenten ein, die eigenständig Aufgaben übernehmen, Informationen abgleichen und unsere Teams massiv entlasten. * Scale-up: Du transferierst unser internes Expertenwissen auf die spezifischen Anforderungen unserer Konzerntochter. DEIN PROFIL * Logik-Verständnis: Du denkst in Systemen. Komplexe Kalkulationen (wie bei unserem Paletten-Vertrieb) schrecken dich nicht ab, sondern wecken deinen Ehrgeiz. * KI-Werkzeugkasten: Du weißt, wie man KI-Agenten-Systeme (z. B. via AutoGPT, CrewAI, LangChain oder No-Code-Alternativen wie Make/Zapier) konzipiert und steuert. * Struktur & Fokus: Du arbeitest eigenständig und verlierst das Ziel nicht aus den Augen. * Lust auf Quereinstieg? Wir priorisieren deine Fähigkeit, Probleme logisch zu lösen, über formale Abschlüsse. Wenn du nachweisen kannst, dass du komplexe Systeme bauen kannst, wollen wir dich kennenlernen. WARUM WIR? * Impact: Du baust Tools, die morgen von echten Menschen genutzt werden, um echtes Geld zu verdienen. * Mentorship: Du arbeitest eng mit unseren internen KI-Experten zusammen und profitierst von deren Know-how. * Keine Bürokratie: Wir wollen Ergebnisse sehen. Wie du dorthin kommst, ist dein kreativer Prozess.

Data and AI Engineering Specialist / Manager (m/w/d)

Armira

YOUR MISSION You will be the technical backbone of Armira’s emerging Data & AI function, responsible for building and maintaining the firm’s internal data infrastructure and AI-powered workflows. This is a two-pillar builder role: you will be responsible for (1) designing and implementing Armira’s central data warehouse, ingestion pipelines, data models, and reporting layer, and (2) building AI- and LLM-powered internal tools and workflows that support the investment team’s day-to-day processes, leveraging existing APIs, agent frameworks, and workflow automation tools. Depending on your background, you may lean more toward one pillar initially – what matters is the ability and drive to work across both. YOUR RESPONSIBILITIES Pillar 1: Data Warehouse & Infrastructure * Architect, build, and maintain a centralised data warehouse consolidating fragmented data sources across the firm * Design ETL/ELT pipelines to ingest, transform, and structure data from market databases, deal pipeline sources, and internal systems * Implement data quality frameworks and governance standards appropriate for a regulated financial services environment  * Build dashboards and reporting tools to enable self-service analytics for the investment team   Pillar 2: AI Workflow Development & Internal Tooling * Design and build AI-powered workflows (e.g., LLM integrations, n8n/Make automation) to automate and enhance deal sourcing, due diligence support, and internal reporting workflows * Develop internal tools and applications using LLM APIs, integrating with existing systems (CRM, document management, communication platforms) * Prototype, test, and iterate on AI-powered workflows, translating business requirements into technical solutions under the guidance of senior leadership * Stay current with the rapidly evolving AI/LLM ecosystem and evaluate and recommend new tools and approaches for implementation Technical Approach & Stack Expectations We expect you to leverage well-established, cloud-native tools and to keep the architecture simple, well-documented, and maintainable, so that another engineer could understand and operate key pipelines within a short onboarding period. We are not optimising for cutting-edge custom architectures, but for pragmatic, robust solutions. The expected tech stack aligns with well-established tools in data engineering: * Data Warehouse: e.g., Snowflake, Fabric * Cloud: Preferred Azure * Transformation & Orchestration: dbt / Airflow * Visualisation: Tableau / Power BI * Programming: Python, SQL * AI/LLM: OpenAI, Anthropic APIs; agent frameworks (LangChain, MCP, etc.); workflow automation (n8n, Make) YOUR PROFILE Required Qualifications: * Degree in Computer Science, Data Science, Engineering, or a related quantitative field * 2+ years of professional experience (Specialist: 2–5 years; Manager: 5+ years) in data engineering, software development, or applied data science * Ideally, at least one end-to-end build of a data product, internal tool, or data platform in a professional setting (e.g., designing a data model, building pipelines, and putting dashboards or an internal application into production) * Strong programming skills in Python; solid experience with SQL and modern data stack tools (e.g., Snowflake, dbt, Airflow) * Experience with cloud platforms (AWS, GCP, or Azure) * Familiarity with LLM APIs (OpenAI, Anthropic, or similar) and willingness and experience to build AI-powered workflows (e.g. n8n, make.com) * Ability to work independently, manage ambiguity, and deliver end-to-end solutions * Fluent in English; German proficiency is a strong plus Preferred Qualifications: * Experience in or exposure to financial services, consulting, or private equity * Familiarity with agentic AI frameworks (LangChain, CrewAI, or similar) and/or workflow automation platforms (n8n, Make) * Experience with data visualisation tools (Tableau, Power BI, or similar) * Understanding of PE workflows (deal sourcing, due diligence, reporting) as context for building effective internal tools * Track record of building data products or internal tools in a smaller-team environment WHY US? What We Offer: * Unique opportunity to build a function from scratch at a leading DACH investment holding * Deep exposure to the investment team and PE deal-making: you will sit in on deal discussions, portfolio reviews, and strategy meetings, building a genuine understanding of how private equity works and developing your own professional network in the industry * Competitive compensation  * Munich-based role with work-from-home options, combined with a collaborative, entrepreneurial team culture * High autonomy with clear career growth path as the data function scales * Learning and development budget for conferences, courses, and certifications

AI Enablement & Execution Leader (f/m/d)

Awin

Purpose of Position Make Awin operate like a company with 10x the leverage of its peers, by combining the instincts of an operator with the discipline of a product leader. Context 26 years. Hundreds of industry awards. Thousands of advertisers and publishers who stay because of the service our people deliver. Our next decade is about building the systems that make those people truly superhuman. Most companies are adopting AI at the edge — individuals using ChatGPT, isolated automations, copilots that don't talk to each other. The gains don't compound and disappear when people leave. We're aiming to do things differently and build institutional intelligence: knowledge captured once and reused everywhere, workflows embedded into systems, expertise encoded so that quality is system-driven rather than person-dependent. We’re creating a Company Brain, and the programme that builds it is Superhuman. You will run it. What you'll actually do * Hunt friction. You will have direct executive sponsorship and authority to challenge workflows, systems, and operating assumptions across the company. You are not here to optimise locally. You are here to increase organisational leverage globally. * Ship, don't strategise. Six months in, we expect workflows live in production, not a roadmap deck. Production over experimentation. If a pilot doesn't operationalise, it is to be killed. * Build Awin’s operating system The long-term goal is not isolated automations. It is to create a shared operational layer across the company, reusable: workflows, integrations, knowledge, decision systems. Every workflow shipped should make the next workflow easier to ship. Over time, the organisation itself should become programmable. * Build the squad. You'll hire a squad  -- engineers, automation specialists, whoever you need. You'll have a real budget for both people and software. * Be ruthless about build vs. buy. Make.com, Retool, n8n, Zapier, off-the-shelf copilots -- use them when they fit. Build custom when leverage demands it. Opportunity cost is the only currency that matters. * Make every workflow deposit knowledge. Anything we automate should leave the organisation smarter. The Company Brain isn't a separate project -- it's the byproduct of shipping execution work with discipline. * Treat staff as customers. This is a product role. Awin's employees are your users. Adoption is your KPI. If they don't use what you ship, you didn't ship it. Who you are * Builder first. You'd ship without resources. We're giving you resources so you ship faster. * First-principles operator. You don't accept "this is how it's done." You're equally comfortable in a Salesforce admin console, a Python notebook, and an exec offsite. * Technically credible. You understand APIs, data models, integrations, and where LLMs actually add value vs. where they're theatre. * Commercially literate. You can defend ROI. You know what a P&L looks like. You prioritise like a CFO and execute like a startup founder. * Product-minded. You've read Escaping the Build Trap or you've lived it. You think in opportunity cost, value creation, and value capture. * AI-pragmatic. You understand where AI creates real leverage, where traditional software is better, and how to combine the two effectively. You use AI fluently, but you care more about operational outcomes than AI theatre. * Change leader. You understand that adoption is a behavioural problem, not a technical one. What success looks like * 6 months: First squad hire made. 5+ workflows in production with measurable adoption. First version of the Company Brain (retrieval over a meaningful slice of company knowledge) live and used weekly by at least one function. * 12 months: Squad of 3+. 20+ workflows live. At least one role-specific copilot in daily use by a full team. Demonstrable hours saved or output increased, with numbers. * 24 months: Awin operates measurably differently. New hires onboard faster. Decisions are faster. Output per employee is up and the curve is bending the right way. What this role is not * An AI strategy role. * An innovation lab. * A transformation programme. * A central bureaucracy that other teams route requests through. If you want to write decks about the future of work, this isn't the job. If you want to build the thing, it is. Our Offer * Flexi-Week and Work-Life Balance: We prioritise your mental health and wellbeing, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves. * Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions * Health & Well Being: With our support and access to various initiatives and sports offers, you can devote yourself to your mental and physical well-being. . * Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development. * Remote Working Allowance: You will receive a monthly allowance to cover a part of your running costs. In addition, we will support you in setting up your remote workspace appropriately. * Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program. * We are hiring in multiple countries, additional benefits in terms of health, well being, security and more will be discussed further upon first initial interview with the talent team. Established in 2000, Awin is proud of our dynamic, social and inclusive culture. Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities. Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know. Awin is part of the Axel Springer group. Learn more at axelspringer.com/en/, and explore the Axel Springer Essentials here: axelspringer.com/en/inside/the-essentials-what-we-have-adapted-and-why   Apply now to begin the next stage of your career at a progressive company that supports both your professional and personal development.