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Forward Deployed AI Engineer

Udg

Job

  • Level
    Erfahren
  • Job Feld
    Data, Application
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Ludwigsburg, Mainz
  • Arbeitsmodell
    Hybrid, Onsite

    • Job Zusammenfassung

    In dieser Position entwickelst du praxistaugliche KI-Lösungen, integrierst diese in bestehende Systeme und optimierst Prozesse, während du eng mit Kunden zusammenarbeitest, um AI-gestützte Transformationen voranzubringen.

    Job Technologien

    Deine Rolle im Team

    • You design, build, and deploy production-ready AI solutions that deliver measurable business impact - from intelligent automation and AI agents to predictive analytics and generative AI applications.
    • You move fast, taking ideas from prototype to production, using modern frameworks (e.g. LangChain, AutoGen) and foundation models (OpenAI, Anthropic, open-source LLMs).
    • You integrate AI into existing business systems via APIs and data pipelines, ensure safe and reliable operation through governance and monitoring, and optimise performance and costs for commercial viability.
    • You work embedded within client organisations to understand real processes, drive adoption, and enable AI-led change.
    • Map current business processes understanding how work gets done today, identifying bottlenecks, and spotting automation opportunities.
    • Design AI-enabled future states working with your Deployment Strategist and client stakeholders to reimagine processes with AI capabilities.
    • Assess AI feasibility evaluating which problems are well-suited for AI, which approaches to use, and what ROI to expect.
    • Define success metrics working with your strategist partner to establish measurable outcomes that demonstrate business value.
    • Collaborate on use case prioritisation helping identify which AI opportunities deliver the highest impact relative to implementation complexity.
    • Build rapid AI prototypes creating working demonstrations of AI capabilities in prospect-specific contexts within days.
    • Demonstrate AI possibilities showing prospective clients what AI can do for their specific business challenges with concrete examples.
    • Provide technical credibility establishing trust with client technical and business leaders through demonstrated AI expertise.
    • Assess client AI readiness evaluating data quality, technical infrastructure, and organisational capability to support AI initiatives.

    Unsere Erwartungen an dich

    Ausbildung

    • University degree in Computer Science, AI/ML, Data Science, or related technical field (or equivalent practical experience).

    Qualifikationen

    • Strong business outcome focus, rapid iteration mindset, pragmatic problem-solving, and clear communication with non-technical stakeholders.
    • Comfortable with change management, close collaboration with a Deployment Strategist, and selecting the right AI approach for the business problem.
    • Speed-oriented and autonomous execution, learning agility in a fast-evolving AI landscape, travel flexibility, entrepreneurial mindset, and ethical AI awareness (safety, bias, privacy).
    • Portfolio of production AI/ML systems you've built and deployed.
    • Fluent English (written and spoken) - additional languages (German, Spanish) are valuable for DACH and Spain regions.
    • Legal right to work in the region of employment (UK and EU).

    Erfahrung

    • Strong AI/ML implementation experience (2+ years) building and deploying production AI systems, with hands-on expertise in LLMs and generative AI (GPT-4, Claude, Llama), including prompt engineering, RAG, fine-tuning, and AI agent development (LangChain, AutoGen, CrewAI or similar).
    • Strong Python skills, solid data engineering capabilities (pipelines, vector databases, ETL), API and integration experience, and practical ML foundations (scikit-learn, PyTorch, TensorFlow).
    • Proven experience shipping AI systems to production, with cloud infrastructure knowledge (AWS, Azure, GCP incl. GPU/serverless), full-stack development around AI applications, DevOps/MLOps practices (CI/CD, monitoring, model versioning), and performance optimisation across cost, latency, and scalability.

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Ludwigsburg

      Baden-Württemberg

      Deutschland

    • Standort Mainz

      Rheinland-Pfalz

      Deutschland

    Das ist dein Arbeitgeber

    Udg

    Udg

    United to grow leaders in a digital world. UDG United Digital Group ist eine der führenden Agenturen für Themen rund um die digitale Transformation. Die Digitalagentur vereint die Disziplinen Consulting, Insights & Strategy, Brand, Creativity & UX, Media, Technology & Platforms sowie CRM, Data & Analytics und erarbeitet mit dieser ganzheitlichen Expertise für internationale Konzerne und für marktführende, mittelständische Unternehmen eine komplett integrierte, digitale und datenbasierte Customer Experience. UDG ist seit 2019 Teil der PIA Group.

    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Internet, IT, Telekom
    • Logo Udg

    Forward Deployed AI Engineer

    Udg
    Ort
    Ludwigsburg, Mainz
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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