Logo Udg

Forward Deployed AI Engineer

Udg

Job

  • Level
    Experienced
  • Job Field
    Data, Application
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Location
    Ludwigsburg, Mainz
  • Working Model
    Hybrid, Onsite

    • Job Summary

    In this role, you design and implement practical AI solutions, integrating them into existing systems while collaborating closely with clients to advance AI-driven transformations.

    Job Technologies

    Your role in the 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 organizations 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 by 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 prioritization to help 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 by 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 by evaluating data quality, technical infrastructure, and organizational capability to support AI initiatives.

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    Our expectations of you

    Education

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

    Qualifications

    • 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).

    Experience

    • 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.

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    Topics that you deal with on the job

    Job Locations

    • Location Ludwigsburg

      Baden-Württemberg

      Germany

    • Location Mainz

      Rheinland-Pfalz

      Germany

    This is your employer

    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

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Internet, IT, Telecommunication
    • Logo Udg

    Forward Deployed AI Engineer

    Udg
    Location
    Ludwigsburg, Mainz
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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